Juggler

Author:

Belviranli Mehmet E.1,Lee Seyong1,Vetter Jeffrey S.1,Bhuyan Laxmi N.2

Affiliation:

1. Oak Ridge National Laboratory

2. University of California

Funder

U.S. Department of Energy

NSF

Publisher

ACM

Reference34 articles.

1. Wireframe

2. QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

3. Understanding the efficiency of ray traversal on GPUs

4. C. Augonnet S. Thibault R. Namyst and P.A. Wacrenier. 2009. StarPU: a unified platform for task scheduling on heterogeneous multicore architectures. In Euro-Par 2009 Parallel Processing (Euro-Par '09). 10.1007/978-3-642-03869-3_80 C. Augonnet S. Thibault R. Namyst and P.A. Wacrenier. 2009. StarPU: a unified platform for task scheduling on heterogeneous multicore architectures. In Euro-Par 2009 Parallel Processing (Euro-Par '09). 10.1007/978-3-642-03869-3_80

5. CudaDMA

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

2. KeSCo: Compiler-based Kernel Scheduling for Multi-task GPU Applications;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

3. Turn-based Spatiotemporal Coherence for GPUs;ACM Transactions on Architecture and Code Optimization;2023-07-19

4. Atos: A Task-Parallel GPU Scheduler for Graph Analytics;Proceedings of the 51st International Conference on Parallel Processing;2022-08-29

5. A Compiler Framework for Optimizing Dynamic Parallelism on GPUs;2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2022-04-02

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