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ScalA20: 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
held in conjunction with the SC20: The International Conference on High Performance Computing, Networking, Storage and Analysis
in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC)
November 12, 2020 --- Virtual Location
http://www.csm.ornl.gov/srt/conferences/Scala/2020
Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important.
Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems.
Workshop Chairs ---------------
- Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA
Workshop Program Chair ----------------------
- Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc@ornl.govmailto:engelmannc@ornl.gov
Workshop Program ----------------
The workshop will be held as a live online session on Thursday, November 12 2020, 10:00 - 18:30 in the US Eastern Time Zone. The live session will be recorded and available on demand afterwards. The SC20 virtual platform can be found here: https://www.eventscribe.net/2020/SC20/index.asp?
All Times in US Eastern Time Zone:
Session 1 10:00-10:10 Welcome 10:10-11:00 Keynote 1: "Performance Evaluation of The Supercomputer "Fugaku" and A64FX Manycore Processor," Mitsuhisa Sato (RIKEN Center for Computational Science, Japan). 11:00-11:25 Paper 1: "An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement," Takeshi Iwashita, Kengo Suzuki and Takeshi Fukaya.
11:25-11:50 Coffee break (coffee on your own)
Session 2 11:50-12:40 Keynote 2: "High Performance Data Analytics and Some Applications," Nahid Emad (University of Paris-Saclay, France). 12:40-13:05 Paper 2: "Two-stage Asynchronous Iterative Solvers for multi-GPU Clusters," Pratik Nayak, Terry Cojean and Hartwig Anzt. 13:05-13:30 Paper 3: "Revisiting exponential integrator methods for HPC with a mini-application," James Douglas Shanks. 13:30-13:55 Paper 4: "A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data," Drew Schmidt.
13:55-14:30 Lunch break (lunch on your own)
Session 3 14:30-15:20 Keynote 3: "ECP: Recent Experiences in Porting Complex Applications to Accelerator-based Systems," Andrew Siegel (Argonne National Laboratory, USA). 15:20-15:45 Paper 5: "Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques," Neil Lindquist, Piotr Luszczek and Jack J. Dongarra. 15:45-16:10 Paper 6: "Recursive Basic Linear Algebra Operations on TensorCore GPU," Shaoshuai Zhang, Vivek Karihaloo and Panruo Wu. 16:10-16:35 Paper 7: "High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs," Natalie Beams, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra, Tzanio Kolev and Yohann Dudouit.
16:35-17:00 Coffee break (coffee on your own)
Session 4 17:00-17:25 Paper 8: "A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks," Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda and Yuma Kikuchi. 17:25-17:50 Paper 9: "Implementation and Numerical techniques for One Eflop/s HPL-AI benchmark on Fugaku," Toshiyuki Imamura, Shuhei Kudo, Keigo Nitadori and Takuya Ina. 17:50-18:15 Paper 10: "Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime," Weile Wei, Arghya Chatterjee, Kevin Huck, Oscar Hernandez and Hartmut Kaiser. 18:15-18:30 Closing
The workshop program is also listed in the SC online program: https://sc20.supercomputing.org/session/?sess=sess214
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Christian Engelmann, Ph.D.
Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory
Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc@ornl.govmailto:engelmannc@ornl.gov / Home: www.christian-engelmann.infohttp://www.christian-engelmann.info