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Improving software concurrency with hardware-assisted memory snapshot
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ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures table of contents
Munich, Germany
POSTER SESSION: Posters table of contents
Pages 363-363  
Year of Publication: 2008
ISBN:978-1-59593-973-9
Authors
JaeWoong Chung  Stanford University, Stanford, CA, USA
Jiwon Seo  Stanford University, Stanford, CA, USA
Woongki Baek  Stanford University, Stanford, CA, USA
Chi CaoMinh  Stanford University, Stanford, CA, USA
Austen McDonald  Stanford University, Stanford, CA, USA
Christos Kozyrakis  Stanford University, Stanford, CA, USA
Kunle Olukotun  Stanford University, Stanford, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

We propose a hardware-assisted memory snapshot to improve software concurrency. It is built on top of the hardware resources for transactional memory and allows for easy development of system software modules such as concurrent garbage collector and dynamic profiler.



Collaborative Colleagues:
JaeWoong Chung: colleagues
Jiwon Seo: colleagues
Woongki Baek: colleagues
Chi CaoMinh: colleagues
Austen McDonald: colleagues
Christos Kozyrakis: colleagues
Kunle Olukotun: colleagues