Workshop: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
Event TypeWorkshop
Registration Categories
Heterogeneous Systems
TimeMonday, November 12th9am - 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 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 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 - 9:01amIntroduction - 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
9:01am - 9:10amIntroduction
9:10am - 10:00amKeynote 1: A Few Scheduling Problems for Resilience at Scale
10:00am - 10:30amWorkshop Morning Break
10:30am - 11:10amKeynote 2: HPC and AI as Drivers for Industrial Engagement
11:10am - 11:30amEvent-Triggered Communication in Parallel Computing
11:30am - 11:50amCommunication Reduced Multi-Timestep Algorithm for Real-Time Wind Simulation on GPU-Based Supercomputers
11:50am - 12:10pmCommunication Avoiding Multigrid Preconditioned Conjugate Gradient Method for Extreme Scale Multiphase CFD Simulations
12:10pm - 12:30pmNon-Collective Scalable Global Network Based on Local Communications
12:30pm - 2:00pmWorkshop Lunch (on your own)
2:00pm - 2:20pmIterative Randomized Algorithms for Low Rank Approximation of Terascale Matrices with Small Spectral Gaps
2:20pm - 2:40pmShift-Collapse Acceleration of Generalized Polarizable Reactive Molecular Dynamics for Machine Learning-Assisted Computational Synthesis of Layered Materials
2:40pm - 3:00pmMachine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation
3:00pm - 3:30pmWorkshop Afternoon Break
3:30pm - 4:10pmKeynote 3: Hierarchical Algorithms on Hierarchical Architectures
4:10pm - 4:30pmLow Thread-Count Gustavson: A Multithreaded Algorithm for Sparse Matrix-Matrix Multiplication Using Perfect Hashing
4:30pm - 4:50pmA General-Purpose Hierarchical Mesh Partitioning Method with Node Balancing Strategies for Large-Scale Numerical Simulations
4:50pm - 5:10pmDynamic Load Balancing of Plasma and Flow Simulations
5:10pm - 5:30pmOn Advanced Monte Carlo Methods for Linear Algebra on Advanced Accelerator Architectures
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