With the transition to a virtual conference, the general co-chairs, program co-chairs and workshops and tutorials co-chairs developed a conference program organized to maximize participation across a wide range of time zones.
- Two workshops and two tutorials during the first day of ICS-2020, developed as live events through parallel Zoom webinar sessions.
- Three keynote sessions organized as live events through a Zoom webinar session.
- Seven paper sessions organized as a combination of recorded and live events. For the recorded part, the authors provided a video that was available a week before the conference days from this program page. The live part of the paper sessions was organized as a combination of short presentations for each paper (5 minutes per paper) and a discussion for all the papers presented in the session. Attendees to the session were expected to listen first to the recorded presentations. The live sessions were organized as Zoom webinars.
- And a final panel session, also organized as a live Zoom webinar.
From this page, you can access to the pre-recorded presentations for conference papers as well as to the recorded webinars for workshops and conference sessions.
All times are Central European Summer Times (CEST)
Workshops program
June 29th, 2020
| 8:30-13:00 14:00-18:00 |
Workshop on RISC-V and OpenPOWER | |
| Organizer: John Davis (BSC) | ||
| 15:00-17:00 17:30-19:00 |
Workshop on Heterogeneous Memory Systems Video1 Video2 | |
| Organizers: Harald Servat (Intel) and Toni Peña (BSC) | ||
Tutorials program
June 29th, 2020
| 10:00-13:15 14:45-18:00 |
MUSA Tutorial: A Tool for Design-Space Exploration of Large-Scale HPC Machine | |
| Organizers: Adrià Armejach, Miquel Moretó and Marc Casas (BSC) | ||
| 10:00-13:15 14:45-18:00 |
Xilinx Tutorial: Developing HPC accelerators using Xilinx FPGAs | |
| Organizer: Cathal McCabe (Xilinx Dublin) | ||
Conference program
June 30th, 2020
| 15:00-15:15 | Welcome | |
| 15:15-16:15 | Session 1 - Algorithms/ Applications keynote: Computing, Data and COVID-19. Katherine A. Yelick (chair: Eduard Ayguadé) | |
| 16:15-16:25 | Short break | |
| 16:25-17:25 | Session 2 - Algorithms I (chair: Carla Osthoff) | |
| A Scalable Framework for Solving Fractional Diffusion Equations | Max Carlson, Robert M. Kirby and Hari Sundar | |
| CFDNet: A deep learning-based accelerator for fluid simulations | Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya and Aparna Chandramowlishwaran | |
| Fast Distributed Bandits for Online Recommendation Systems | Kanak Mahadik, Qingyun Wu, Shuai Li and Amit Sabne | |
| Wavefront Parallelization of Recurrent Neural Networks on Multi-core Architectures | Robin Kumar Sharma and Marc Casas | |
| NV-Group: Link-Efficient Reductions for Distributed Deep Learning on Modern Dense GPU Systems |
Ching-Hsiang Chu, Pouya Kousha, Ammar Awan, Kawthar Shafie Khorassani, Hari Subramoni and Dhabaleswar K. Panda | |
| TensorSVM: Accelerating Kernel Machines with Tensor Engine | Shaoshuai Zhang, Ruchi Shah and Panruo Wu | |
| 17:25-18:25 | Session 3 - Algorithms II (chair: Manuel Prieto-Matias) | |
| A Coordinate-Oblivious Index for High-Dimensional Distance Similarity Searches on the GPU | Brian Donnelly and Michael Gowanlock | |
| V-Combiner: Speeding-up Iterative Graph Processing on a Shared-MemoryPlatform with Vertex Merging | Azin Heidarshenas, Serif Yesil, Dimitrios Skarlatos, Sasa Misailovic, Adam Morrison and Josep Torrellas | |
| Efficient Parallel Algorithms for Betweenness- and Closeness-Centrality in Dynamic Graphs | Kshitij Shukla, Sai Charan Regunta, Sai Harsh Tondomker and Kishore Kothapalli | |
| Parallelizing Pruned Landmark Labeling: Dealing with Dependencies in Graph Algorithms | Ruoming Jin, Zhen Peng, Wendell Wu, Feodor Dragan, Gagan Agrawal and Bin Ren | |
| cuRipples: Influence Maximization on Multi-GPU Systems | Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo and Ananth Kalyanaraman | |
| Graptor: Efficient Pull and Push Style Vectorized Graph Processing | Hans Vandierendonck | |
July 1st, 2020
| 15:00-16:00 | Session 4 - Architecture keynote: Post-Moore Server Architecture. Babak Falsafi (chair: Rosa M. Badia) | |
| 16:00-16:10 | Short break | |
| 16:10-17:00 | Session 5 - Architecture I (chair: Greg Byrd) | |
| SB-Fetch: Synchronization Aware Hardware Prefetching for Chip Multiprocessors | Laith M. Albarakat, Paul V. Gratz and Daniel A. Jimenez | |
| RICH: Implementing Reductions in the Cache Hierarchy | Vladimir Dimić, Miquel Moretó, Marc Casas, Jan Ciesko and Mateo Valero | |
| AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling | Xianwei Cheng, Hui Zhao, Mahmut Kandemir, Beilei Jiang and Gayatri Mehta | |
| SNUG: Architectural Support for Relaxed Concurrent Priority Queueingin Chip Multiprocessors. | Azin Heidarshenas, Tanmay Gangwani, Serif Yesil, Adam Morrison and Josep Torrellas | |
| Sparse-TPU: Adapting Systolic Arrays for Sparse Matrices. | Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Yuhan Chen, Ronald Dreslinski and Trevor Mudge | |
| 17:00-18:00 | Session 6 - Architecture II (chair: Philippe Navaux) | |
| Bundlefly: A Low-Diameter Topology for Multicore Fiber | Fei Lei, Dezun Dong, Xiangke Liao and Jose Duato | |
| Global Link Arrangement for Practical Dragonfly | Zaid Salamah A Alzaid, Saptarshi Bhowmik, Xin Yuan and Mickael Lang | |
| Fuzzy Fairness Controller for NVMe SSDs | Shivani Tripathy, Debiprasanna Sahoo, Manoranjan Satpathy and Madhu Mutyam | |
| Leveraging Intra-page Update Diversity for Mitigating Write Amplification in SSDs | Imran Fareed, Mincheol Kang, Wonyoung Lee and Soontae Kim | |
| CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks | Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden So, Martin Herbordt, Ang Li and Yanzhi Wang | |
| BurstZ: A Bandwidth-Efficient Scientific Computing Accelerator Platform for Large-Scale Data | Gongjin Sun, Seongyoung Kang and Sang-Woo Jun | |
| 18:00-19:00 | Session 7 - Performance (chair: Antonino Tumeo) | |
| Tools for top-down performance analysis of GPU-accelerated applications | Keren Zhou, Mark Krentel and John Mellor-Crummey | |
| Identifying and (automatically) remedying performance problems in CPU/GPU applications | Benjamin Welton and Barton Miller | |
| AutoParBench: A Unified Test Framework for OpenMP-based Parallelizers | Gleison Souza Diniz Mendonça, Chunhua Liao and Fernando Magno Quintão Pereira | |
| A characterization and identification of HPC applications at leadership computing facility | Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip Carns, Nageswara Rao, Ian Foster and Michael Papka | |
| End-to-end Performance Modeling of Distributed GPU Applications | Jaemin Choi, David Richards, Laxmikant Kale and Abhinav Bhatele | |
| Fast, Accurate, and Scalable Memory Modeling of GPGPUs using Reuse Profiles | Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati, Atanu Barai, Nandakishore Santhi and Stephan Eidenbenz | |
July 2nd, 2020
| 15:00-16:00 | Session 8 - Compilers and languages keynote: Optimizing Supercompilers for Supercomputers. Michael Wolfe (chair: Peter Hofstee) | |
| 16:00-16:10 | Short break | |
| 16:10-17:10 | Session 9 - Runtime (chair: Lucia Drummond) | |
| Mapping and Scheduling HPC Applications for optimizing I/O | Jesus Carretero, Emmanuel Jeannot, Guillaume Pallez, David ExpositoSingh, and Nicolas Vidal | |
| Modeling and Optimizing NUMA Effects and Prefetching with Machine Learning | Isaac Sánchez Barrera, David Black-Schaffer, Marc Casas, Miquel Moretó, Anastasiia Stupnikova and Mihail Popov | |
| How I Learned to Stop Worrying about User-Visible Endpoints and Love MPI | Rohit Zambre, Aparna Chandramowlishwaran and Pavan Balaji | |
| Accelerating Relax-ordered Task-parallel Workloads using Multi-Level Dependency Checking | Masab Ahmad, Akif Rehman, Mohsin Shan and Omer Khan | |
| Tuning Applications for Efficient GPU Offloading to In-Memory Processing | Yudong Wu, Mingyao Shen, Yi Hui Chen and Yuanyuan Zhou | |
| Ouroboros: Virtualized Queues for Dynamic Memory Management on GPUs | Martin Winter, Daniel Mlakar, Mathias Parger and Markus Steinberger | |
| 17:10-18:00 | Session 10 - Compilers (chair: Dimitrios Nikolopoulos) | |
| MKPipe: A Compiler Framework for Optimizing Multi-Kernel Workloads in OpenCL for FPGA | Ji Liu, Abdullah-Al Kafi, Xipeng Shen and Huiyang Zhou | |
| Chunking Loops with non-Uniform Workloads | Indu K and V. Krishna Nandivada | |
| Compiler Aided Checkpointing using Crash-Consistent Data Structures in NVMM Systems | Tyler Coy, Shuibing He, Bin Ren and Xuechen Zhang | |
| What Every Scientific Programmer Should Know About Compiler Optimizations? | Jialiang Tan, Shuyin Jiao, Milind Chabbi and Xu Liu | |
| CodeSeer: Input-dependent Code Variants Selection Via Machine Learning | Tao Wang, Nikhil Jain, David Boehme, David Beckingsale, Frank Mueller and Todd Gamblin | |
| 18:00-18:10 | Short break | |
| 18:10-19:10 | Session 11 - Panel session: featured Interview Yale Patt (chair: Wen-mei Hwu) | |
| 19:10-19:25 | Conclusions | |