- grid-announce - lists.ogf.org

Call for Papers - Special Issue on "Applications of IoT and Cloud Computing in Smart Grids" in the Electronics Journal (Impact Factor: 2.412)
by Sanmukh Rao Kuppannagari 09 Mar '21

09 Mar '21

**************************************************************************************** Apologies if you receive multiple copies of this email. Please forward it to anyone who might be interested. *************************************************************************************** Special Issue on "Applications of IoT and Cloud Computing in Smart Grids" in the Electronics Journal (Impact Factor: 2.412) Call For Papers https://www.mdpi.com/journal/electronics/special_issues/SG_electronics Dear Colleagues, We are on the verge of the so-called fourth industrial revolution. Recent advances in cyber-physical systems are enabling the acquisition, delivery, and analysis of increasingly large volumes of data. Cloud computing, with its seamless approach to scalable computing, has emerged as a suitable solution for businesses running data analytics involving machine learning tasks that would otherwise not be feasible using traditional computers. The increasing number of sensors has showcased the potential of IoT in making our world safer, more accessible, and comfortable. However, until the advent of 5G, there was no suitable means of making these two worlds communicate efficiently. The energy sector with its smart grids is such an example, where, for instance, (1) data from tens of thousands of sensors from customers are gathered by providers to gain meaningful insight on real-time demand optimization (2) and real-time monitoring and predictive maintenance of remote renewable energy sources is needed for optimizing the load balancing. For a significant period, transmitting this data in near real-time over Wi-Fi and wireless has been hindered by the network capability. Software-driven solutions involving on edge or fog preprocessing combined with periodic cloud-based analytics of the resulting metadata have been a key focus of research. The advent of 5G opens new opportunities for at-scale bi-directional delivery and analysis of real-time customer and utility data. In this Special Issue, we aim at bringing together researchers and practitioners from the field of smart grids to showcase state-of-the-art cyber-physical solutions to current challenges in smart grid analytics. These should cover the full spectrum of hardware (sensors, networks), software (middleware, platforms, applications), and data (storage, privacy, security) aspects for fast scalable data analytics involving the entire cyber-physical stack, from IoT to cloud systems. We, therefore, invite contributors to present their models, frameworks, and applications with a focus on hybrid IoT/cloud computing for smart grids with all its challenges. Guest Editors Dr. Marc Frincu, Nottingham Trent University, Nottingham, UK Dr. Sanmukh Rao Kuppannagari, University of Southern California, Los Angeles, USA Prof. Dr. Yogesh Simmhan, Indian Institute of Science, Bangalore, India Prof. Dr. Cesar A. F. De Rose, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil Dr. Mayank Malik, SLAC National Accelerator Laboratory, Menlo Park, USA Submission information can be found at: https://www.mdpi.com/journal/electronics/special_issues/SG_electronics Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

1 0

IEEE HiPC 2020 Call For Participation
by sanmukh＠hipc.org 30 Nov '20

30 Nov '20

*********************************************************************** CALL FOR PARTICIPATION IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020 https://hipc.org/ *********************************************************************** HiPC 2020 is the 27th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. The conference focus is not only HPC but also includes Data Science. Due to the COVID-19 pandemic, this year the conference will be held virtually on December 16, 17, and 18. Each day of the three day event will open with a keynote talk, followed by two one-hour live remote sessions to present the technical program of thirty-three peer reviewed papers. All papers accepted for the conference will be published as part of the proceedings that will be available before, during, and after the week of the scheduled conference. The online publication will include both papers and presentations (slides) for each paper. Access to the online publication is part of the free registration to attend the virtual live sessions. See here (https://hipc.org/register2020/) to register. Below is the planned program schedule for the conference. Return regularly for updates and details on how to attend. All times below are India Standard Time (IST). Wednesday, December 16th Keynote Talk (9:00-10:00 AM IST) Kathy Yelick University of California at Berkeley and Lawrence Berkeley National Laboratory Computing and Data Challenges in Climate Change Best Papers Session (10:10 AM IST – start time) SimGQ: Simultaneously Evaluating Iterative Graph Queries Chengshuo Xu, Abbas Mazloumi, Xiaolin Jiang and Rajiv Gupta WarpCore: A Library for fast Hash Tables on GPUs Daniel Jünger, Robin Kobus, André Müller, Kai Xu, Weiguo Liu, Christian Hundt and Bertil Schmidt Session 1: Applications (11:20 AM IST – start time) Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan and Viktor K. Prasanna. Performance Optimization and Scalability Analysis of the MGB Hydrological Model Henrique R. A. Freitas, Celso Luiz Mendes and Aleksandar Ilic Exploring Task Parallelism for the Multilevel Fast Multipole Algorithm Michael Lingg, H. Metin Aktulga, Balasubramaniam Shanker, Stephen Hughey and Doga Dikbayir SparsePipe: Parallel Deep Learning for 3D Point Clouds Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan and Sanjay Ranka HyPR: Hybrid Page Ranking on Evolving Graphs Hemant Kumar Giri, Mridul Haque and Dip Sankar Banerjee Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters -- an Experimental Study Charilaos Tzovas, Maria Predari and Henning Meyerhenke ************************************************************************************************ Thursday, December 17th Keynote Talk (9:00-10:00 AM IST) Animashree Anandkumar California Institute of Technology and Machine Learning Research, NVIDIA Role of HPC in next-generation AI Session 2: Scalable Data Science (10:10 AM IST – start time) Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices Akshay Parashar, Arun Abraham, Deepak Chaudhary and Vikram Nelvoy Rajendiran Avoiding Communication in Logistic Regression Aditya Devarakonda and James Demmel A Parallel and Scalable Framework for Insider Threat Detection Abdoulaye Diop, Nahid Emad and Thierry Winter Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni and Dhabaleswar K. Panda Content-defined Container Delivery Yuta Nakamura, Tanu Malik and Raza Ahmad Model Checking as a Service using Dynamic Resource Scaling Surya Teja, Yuvraj Singh, Adhish Singla, Suresh Purini and Venkatesh Choppella Session 3: Algorithms (11:20 AM IST – start time) Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization Lawton Manning, Grey Ballard, Ramakrishnan Kannan and Haesun Park Pipelined Preconditioned Conjugate Gradient Methods for Distributed Memory Systems Manasi Tiwari and Sathish Vadhiyar Fair Allocation of Asymmetric Operations in Storage Systems Thomas Keller and Peter Varman A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre and Allam Dinesh Reddy 2D Static Resource Allocation Strategies for Load Balancing in Compressed Linear Algebra under Communication Constraints Olivier Beaumont, Lionel Eyraud-Dubois and Mathieu Verite Algorithms for Preemptive Co-scheduling of Kernels on GPUs Lionel Eyraud-Dubois and Cristiana Bentes ************************************************************************************ Friday, December 18th Keynote Talk (9:00-10:00 AM IST) Fabrizio Petrini Parallel Computing Lab Intel Corporation Breaking the Scalability Wall Session 4: Runtime Systems (10:10 AM IST – start time) Understanding HPC Application I/O Behavior Using System Level Statistics Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror and Ali R. Butt AMCilk: A Framework for Multiprogrammed Parallel Workloads Zhe Wang, Chen Xu, Kunal Agrawal and Jing Li Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling Mohak Chadha, Jophin John and Michael Gerndt On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance Joshua Suetterlein, Joseph Manzano, Andres Marquez and Gunag Gao Exposing data locality in HPC-based systems by using the HDFS backend Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero and Javier Garcia-Blas PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks Vivek Kumar Design and Study of Elastic Recovery in HPC Applications Kai Keller, Konstantinos Parasyris and Leonardo Bautista Session 5: System Software and Architecture (11:30 AM IST – start time) Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture Ruihao Li, Shuang Song, Qinzhe Wu and Lizy K. John Nonblocking Persistent Software Transactional Memory Alan Beadle, Wentao Cai, Haosen Wen and Michael Scott GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU Ruidong Gu and Michela Becchi Batched Small Tensor-Matrix Multiplications On GPUs Keke Zhai, Tania Banerjee, Adeesha Wijayasiri and Sanjay Ranka Temporal Based Intelligent LRU Cache Construction Pavan Nittur, Anuradha Kanukotla and Narendra Mutyala Boosting LSTM Performance Through Dynamic Precision Selection Franyell Silfa, Jose Maria Arnau and Antonio González

1 0

IEEE HiPC 2020: Deadlines Extended
by sanmukh＠hipc.org 01 Jul '20

01 Jul '20

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 VIRTUAL CONFERENCE - DEADLINES EXTENDED ********************************************************************* IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this year. The registration fees for authors will be reduced, and details regarding the same will be communicated later. We are also workin with the sponsors to offer complimentary access to the online proceedings publication as well as participation in the virtual meeting. Extended Deadlines for HiPC 2020 are as follows: Abstract Registration: July 10, 2020 Paper Submission Deadline: July 15, 2020 For more details, please visit: https://hipc.org/ Call for Papers can be found at https://hipc.org/call-for-papers/

1 0

IEEE HiPC 2020: Deadlines Approaching
by sanmukh＠hipc.org 28 Jun '20

28 Jun '20

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 VIRTUAL CONFERENCE - DEADLINES APPROACHING ********************************************************************* IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this year. The registration fees for authors will be reduced, and details regarding the same will be communicated later. We are also workin with the sponsors to offer complimentary access to the online proceedings publication as well as participation in the virtual meeting. Upcoming Deadlines for HiPC 2020 are as follows: Abstract Registration: July 1, 2020 Paper Submission Deadline: July 8, 2020 For more details, please visit: https://hipc.org/ Call for Papers can be found at https://hipc.org/call-for-papers/

1 0

Updates : HiPC 2020 going virtual due to COVID-19 pandemic - Revised Timeline
by sanmukh＠hipc.org 30 May '20

30 May '20

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 VIRTUAL CONFERENCE - REVISED TIMELINE ********************************************************************* IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Due to the COVID-19 pandemic, the 27th edition of HiPC - HiPC 2020 will be held VIRTUALLY this year. The registration fees for authors will be reduced and details regarding the same will be communicated later. We are also working with the sponsors to offer complimentary access to the online publications as well as the virtual meeting. The updated timeline for HiPC 2020 is as follows: Abstract Registration: July 1, 2020 Paper Submission Deadline: July 8, 2020 Rebuttal Period: August 31 - September 2, 2020 Decisions Communicated: September 15, 2020 Deadline for Revised Papers: October 10, 2020 Final Notifications: October 25, 2020 Camera Ready Due: November 10, 2020 For more details, please visit: https://hipc.org/ Call for Papers can be found at https://hipc.org/call-for-papers/

1 0

Call For Workshop Proposals - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by sanmukh＠hipc.org 09 May '20

09 May '20

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 CALL FOR WORKSHOP PROPOSALS ********************************************************************* The 27th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2020) will be held in Pune, India, December 16-19, 2020. Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, networking, data analytics, and their applications. Held on the first day of the conference, HiPC workshops will typically be half-day events although proposals for full-day workshops will also be considered. Workshops should have contributed papers in their program, and can have invited talks, poster sessions, and panel discussions as part of their technical program. Workshop organizers are responsible for preparing the call for papers to their workshops and also peer-review all submissions in accordance with the conference and IEEE guidelines. Papers accepted for presentation at the HiPC 2020 workshops will be included in the workshops volume of the conference proceedings with a separate ISBN (HiPCW 2020) and will be distributed online. Post-conference, papers presented at the conference and eligible for inclusion will be made available to the IEEE Xplore Digital Library. Deadlines and Important Dates Workshop proposal submissions: May 20, 2020 Workshop proposal notifications: May 31, 2020 Workshop Website and CFP: June 15, 2020 Workshop organizers should further note the deadlines for their workshop organization to coordinate the proceedings of the main conference: Notification of Workshop papers accepted: October 14th, 2020 Workshop Camera-ready: October 28th, 2020 Final submission of workshop program and materials and full workshop websites online: November 7, 2020 Workshop date: December 16, 2020 Workshop Themes The topics of the proposed workshop should complement those listed in the main conference call for papers. Each workshop should be centered around a coherent theme or topic related to HPC and/or scalable data science; We particularly encourage workshop themes that relate to emerging areas and/or emerging application contexts of societal value (e.g., agriculture, energy, sustainability, workforce development). Workshop proposals will need to clearly state the purpose and the applications of the techniques in the abstract. Workshop proposers will also need to clearly identify how they are going to attract papers and speakers. What/Where to Submit Potential HiPC workshop organizers should submit a workshop proposal that contains the items listed below. The proposal should also specify steps to be taken to develop a high-quality program committee and attract high-quality submissions to place the workshop(s) in a competitive international landscape. Workshops will be held on the first day of the conference, i.e., December 16th. Workshops may be proposed as a half-day program, running for 3 hours in the morning or afternoon, or as a full day program. In the case of the latter, organizers should explain how they will attract sufficient participation to develop a full day program of peer-reviewed papers. Proposals to organize a workshop at HiPC 2020 should include: * Description: title; topics to be addressed; goals; relevance and significance to the main conference. * Names, affiliations and contact information for organizers. * Plans for soliciting submissions, and the process for selecting papers to be presented at the workshop and included in the workshop proceedings. * Tentative names of Keynote/ invited speakers * Tentative program outline, identifying key elements such as panels, discussion sessions, poster sessions, invited talks, etc. * Tentative list of PC members to be recruited * A detailed timeline of the peer-review process The proposal should not exceed three pages and should be submitted as a pdf file to the HiPC Workshops Chairs at workshops(a)hipc.org. For additional information about organizing an HiPC workshop, see the FAQs sheet on the website. Workshop Co-Chairs Josephine Namayanja, University of Massachusetts, Boston Antonino Tumeo Pacific Northwest National Laboratory

1 0

Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by sanmukh＠hipc.org 19 Apr '20

19 Apr '20

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 CALL FOR PAPERS ********************************************************************* 27th IEEE International Conference on High Performance Computing, Data, and Analytics 16--19 December, 2020 in Pune India https://hipc.org/ PROGRAM CHAIRS HPC: Bora Uçar, CNRS and ENS Lyon, France Data Science: Gagan Agrawal, Augusta University, USA HPC TRACKS Algorithms: Kamesh Madduri, Pennsylvania State University, USA Applications: Yogesh Simmhan, Indian Institute of Science, India and Ana Lucia Varbanescu, University of Amsterdam, The Netherlands Architecture: Biswabandan Panda, IIT Kanpur, India System Software: Marco Aldinucci, University of Torino, Italy DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Bingsheng He, National University of Singapore and Amelie Chi Zhou, Shenzhen University, China Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA HiPC 2020 will be the 27th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). IMPORTANT DATES (2020) Abstract Submissions : June 8, 2020 Paper Submissions : June 15, 2020 Reviews for Rebuttals: August 4, 2020 Initial Submission Decisions: August 21, 2020 Revisions Due: September 22, 2020 Author Notifications: October 2, 2020 Camera Ready: October 16, 2020 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details: •LaTex Package (ZIP) – will be linked •Word Package (ZIP) – will be linked Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair at the email address below for further information or clarification. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference in person is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Authors of selected high quality papers in HiPC 2020 will be invited to submit extended versions of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2020. __________________________________________________________________________ HiPC 2020 is co-sponsored by * IEEE Computer Society Technical Committee on Parallel Processing (TCPP) * HiPC Education Trust, India In cooperation with: * ACM Special Interest Group on Algorithms and Computation Theory (SIGACT); * ACM Special Interest Group on Computer Architecture (SIGARCH); * IFIP Working Group on Concurrent Systems; * Manufacturers' Association for Information Technology (MAIT); * National Association of Software and Service Companies (NASSCOM).

1 0

Paper Deadline in Less Than 1 Month - Data Science for Future Energy Systems HiPC Workshop 2019
by sanmukh＠hipc.org 23 Aug '19

23 Aug '19

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** Paper Deadline in Less Than 1 Month - Data Science for Future Energy Systems - HiPC Workshop 2019 https://hipc.org/dsfes 17 December 2019 Hyderabad, India CALL FOR WORKSHOP PAPER An Energy System is defined as a system primarily designed to supply energy services to end users. Such systems form the backbone of modern economy and include power grids, oilfields, heating/cooling systems, etc. The design of efficient, reliable and scalable Energy Systems for the future requires making them smarter and transitioning them into Future Energy Systems via novel data driven solutions built on top of the existing monitoring and control infrastructure. The goal of this workshop is to highlight and encourage discussions regarding novel applications of data science and data analytics techniques in the domain of Energy Systems such as smart (power) grids, smart oilfields, smart heating/cooling systems etc. Data driven techniques enabling transition to Future Energy Systems via improved sustainability and electrification of the energy systems, Uberization of the energy systems, mobility changes due to future energy systems, etc. are solicited. This workshop seeks submissions related to the following topic areas as applicable to the domain of future energy systems: * Discovery of knowledge and insights using data * Data Analytics Applications: Learning, prediction, anomaly detection, pattern recognition, search, mining, etc. * Data management/infrastructure * Data privacy/security * Data driven modeling * Data driven decision making * Data driven techniques enabling energy transition for improved sustainability and electrification * Uberization of energy systems enabling peer-to-peer transactions, minimizing distance between the producer and consumers, user rating system for quality of service, etc. * Mobility changes due to future energy systems MANUSCRIPT GUIDELINES Submitted manuscripts should be structured as technical papers and may not exceed six (6) single-spaced double-column pages using 10-point size font on 8.5 x 11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details. Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Presentation of an accepted paper at the workshop is a requirement of publication. Any paper that is not presented at the conference will not be included in proceedings. IMPORTANT DATES Paper Submission: September 20th, 2019 Notification to Authors: October 14th, 2019 Workshop camera-ready: October 28th, 2019 SUBMISSION PORTAL Easychair Submission Link: https://easychair.org/conferences/?conf=dsfes2019 ORGANIZING COMMITTEE Sanmukh R. Kuppannagari, University of Southern California, USA Chayan Sarkar, TCS Research, India PROGRAM COMMITTEE MEMBERS Ram Balachandran, India Charalampos Chelmis, University of Albany, USA Sanmukh R. Kuppannagari (organizer), University of Southern California, USA Akshay Uttama Nambi, Microsoft Research, India Anand Panangadan, California State University, USA Laks Raghupati, Shell, India Kiran Sajjanshetty, Voyage Auto Inc., USA Chayan Sarkar (organizer), TCS Research & Innovation, India Ajitesh Srivastava, University of Southern California, USA Mahima Agumbe Suresh, San Jose State University, USA

1 0

HiPC 2019 Workshops' Paper Deadlines in Less Than 1 Month
by sanmukh＠hipc.org 17 Aug '19

17 Aug '19

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2019 WORKSHOP PAPER DEADLINES ********************************************************************** The 26th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019) will be held at the Hyderabad International Convention Centre, Hyderabad, India, during 17-20 December 2019. Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, communication, data and analytics and their applications. Below is the listing of the workshops with deadlines to be held on the first day of the conference, December 17th. Please follow the links below for a detailed description and the Call for Papers of each workshop. SEPTEMBER 15, 2019 * Workshop on Education for High Performance Computing (EduHiPC) - https://hipc.org/eduhipc-2019 SEPTEMBER 20, 2019 * Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers - https://hipc.org/bigdata/ * Workshop on Data Science for Future Energy Systems - https://hipc.org/dsfes/ * Workshop on Memory and Storage Systems 2019 (WoMSS) - http://hipc.org/womss/ WORKSHOP CO-CHAIRS * Vandana Janeja, University of Maryland, Baltimore County, USA * Antonino Tumeo, Pacific Northwest National Laboratory, USA Workshops co-chairs may be contacted at workshops(a)hipc.org.

1 0

Call For Papers - 12th HiPC Student Research Symposium (SRS)
by sanmukh＠hipc.org 14 Aug '19

14 Aug '19

*** 12th HiPC Student Research Symposium (SRS) *** Held in conjunction with the 26th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2019) December 17-20, 2019 | Hyderabad, INDIA | www.hipc.org OVERVIEW HiPC 2019 will feature the 12th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2019 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. High-Performance Computing Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): • New parallel and distributed algorithms and design techniques; • Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); • Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); • Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and • Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): • Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); • Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); • Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); • Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and • Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): • Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); • Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); • Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and • Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): • Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); • Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); • Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); • Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; • Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and • Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): • New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); • Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); • Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); • Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and • Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): • Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); • Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); • Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); • Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and • Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Aug 19, 2019 > Submission Opens Sep 16, 2019 > Submission Deadline Nov 9, 2019 > Accept/Reject Decision Notification Dec 17-20, 2019 > Symposium ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2019. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1'' margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2019. The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. TRAVEL SUPPORT We expect to provide a travel scholarship to at least one student author of each accepted submission from an Indian university, subject to availability of funding. This scholarship will cover partial expenses for attending the conference. Further details on this scholarship and the application process will be provided later. SYMPOSIUM CO-CHAIRS Ashok Srinivasan, University of West Florida, USA Ramakrishna Upadrasta, IIT Hyderabad, India SYMPOSIUM VICE-CHAIR Dip Sankar Banerjee, IIIT Guwahati, India CONTACT Contact student_symposium at hipc dot org for more details.

1 0