Efficient exception handling support for GPUs-Reference-Cited by-同舟云学术

Efficient exception handling support for GPUs

Published:2017-10-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Tanasic Ivan¹,Gelado Isaac²,Jorda Marc³,Ayguade Eduard¹,Navarro Nacho¹

Affiliation:

1. Barcelona Supercomputing Center and Universitat Politecnica de Catalunya

2. NVIDIA

3. Barcelona Supercomputing Center

Funder

Spanish Government

Spanish Ministry of Science and Technology

Generalitat de Catalunya

Nvidia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3123939.3123950

Reference57 articles.

1. Andrew V. Adinetz and Dirk Pleiter. 2014. Halloc: a high-throughput dynamic memory allocator for GPGPU architectures. http://on-demand.gputechconf.com/gtc/2014/presentations/S4271-halloc-high-throughput-dynamic-memory-allocator.pdf. (2014). Andrew V. Adinetz and Dirk Pleiter. 2014. Halloc: a high-throughput dynamic memory allocator for GPGPU architectures. http://on-demand.gputechconf.com/gtc/2014/presentations/S4271-halloc-high-throughput-dynamic-memory-allocator.pdf. (2014).

2. The IBM System/360 Model 91: Machine Philosophy and Instruction-Handling

3. Real-time concurrent collection on stock multiprocessors

4. Virtual memory primitives for user programs

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