Workshop: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
Event TypeWorkshop
Registration Categories
Scalable Computing
TimeMonday, 18 November 20199am - 5:30pm
DescriptionNovel 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 and 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 exaflop 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 mathematics and mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems.
9:00am - 9:01am10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
9:01am - 10:00amKeynote 1: Exascale Application Progress and Challenges
10:00am - 10:30amMorning Break
10:30am - 11:30amKeynote 2: Toward Scaling Deep Learning to 100,000 Processors - The Fugaku Challenge
11:30am - 11:50amGPU Acceleration of Communication Avoiding Chebyshev Basis Conjugate Gradient Solver for Multiphase CFD Simulations
11:50am - 12:10pmOptimization of a Solver for Computational Materials and Structures Problems on NVIDIA Volta and AMD Instinct GPUs
12:10pm - 12:30pmToward Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs
12:30pm - 2:00pmLunch Break
2:00pm - 3:00pmKeynote 3: The Extreme-Scale Scientific Software Stack and Its Promise for the Exascale Computing Era
3:00pm - 3:30pmAfternoon Break
3:30pm - 3:50pmExtreme Scale Phase-Field Simulation of Sintering Processes
3:50pm - 4:10pmGeneric Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms Over PaRSEC
4:10pm - 4:30pmToward Accelerated Unstructured Mesh Particle-in-Cell
4:30pm - 4:50pmParallel Multigrid Methods on Manycore Clusters with IHK/McKernel
4:50pm - 5:10pmMaking Speculative Scheduling Robust to Incomplete Data
5:10pm - 5:30pmParallel SFC-Based Mesh Partitioning and Load Balancing
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