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TBAA20: Task-Based Algorithms and Applications

Technical Report ·
DOI:https://doi.org/10.2172/1764191· OSTI ID:1764191
 [1];  [2];  [3];  [4];  [4];  [2];  [5];  [6];  [4]
  1. NVIDIA Corporation, Santa Clara, CA (United States)
  2. Univ. of Illinois at Urbana-Champaign, IL (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Louisiana State Univ., Baton Rouge, LA (United States)
  5. Oracle Corporation, Redwood City, CA (United States)
  6. Univ. of Hawaii, Honolulu, HI (United States)
+ Show Author Affiliations
The new challenges posed by Exascale system architectures have resulted in difficulty achieving a desired scalability using traditional distributed ­memory runtimes. Task­-based programming models show promise in addressing these challenges, providing application developers with a productive and performant approach to programming on next generation systems. Empirical studies show that task-based models can overcome load ­balancing issues that are inherent to traditional distributed ­memory runtimes, and that task-­based runtimes perform comparably to those systems when balanced. This panel is designed to explore the advantages of task-­based programming models on modern and future HPC systems from an industry, university, and national lab perspective. It aims at gathering application experts and proponents of these models to present concrete and practical examples of using task­-based runtimes to overcome the challenges posed by Exascale system architectures. This report describes the objectives, activities, and outcomes of the panel TBAA: Task­-Based Algorithms and Applications which was held at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 20) on November 18, 2020.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); NVIDIA Corporation, Santa Clara, CA (United States); Univ. of Illinois at Urbana-Champaign, IL (United States); Louisiana State Univ., Baton Rouge, LA (United States); Oracle Corporation, Redwood City, CA (United States); Univ. of Hawaii, Honolulu, HI (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
89233218CNA000001
OSTI ID:
1764191
Report Number(s):
LA-UR--21-20928
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING
Charm++
HPC
HPX
Julia
OpenMP
asynchronous many-task runtime systems
task-based algorithms
task-based runtimes