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Adaptive Partitioning for Irregular Applications on Heterogeneous CPU-GPU Chips

  • Published:2015 Issue: Volume:51 Page:140-149
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Vilches Antonio,Asenjo Rafael,Navarro Angeles,Corbera Francisco,Gran Rub́en,Garzarán María

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Data-aware task scheduling on multi-accelerator based platforms;Augonnet;In Proc of ICPADS,2010

2. A dynamic self-scheduling scheme for heterogeneous multiprocessor architectures;Belviranli;ACM Trans. Archit. Code Optim.,2013

3. Productive programming of GPU clusters with OmpSs;Bueno;In Proc. of IPDPS,2012

4. A quantitative study of irregular programs on GPUs;Burtscher;In Proc. of IISWC,2012

5. A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads;Shuai Che;In IISWC,2010

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1. Hardware support for balanced co-execution in heterogeneous processors;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07

2. Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads;2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS);2023-04

3. Resource Mapping Allocation Scheme in 6G Satellite Twin Network;Sensors;2022-08-04

4. Resource Scheduling Strategy for Performance Optimization Based on Heterogeneous CPU-GPU Platform;Computers, Materials & Continua;2022

5. Cooperative Software-hardware Acceleration of K-means on a Tightly Coupled CPU-FPGA System;ACM Transactions on Architecture and Code Optimization;2020-08-21
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