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 Forrest J Robinson

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Average citations per article2.00
Citation Count6
Publication count3
Publication years2015-2016
Available for download3
Average downloads per article103.00
Downloads (cumulative)309
Downloads (12 Months)169
Downloads (6 Weeks)21
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1 published by ACM
December 2016 ACM Transactions on Architecture and Code Optimization (TACO): Volume 13 Issue 4, December 2016
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 11,   Downloads (12 Months): 81,   Downloads (Overall): 88

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Many performance optimizations rely on or are enhanced by runtime profile information. However, both offline and online profiling techniques suffer from intrinsic and practical limitations that affect the quality of delivered profile data. The quality of profile data is its ability to accurately predict (relevant aspects of) future program behavior. ...
Keywords: profile-guided optimizations, Profiling

2 published by ACM
June 2016 LCTES 2016: Proceedings of the 17th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools, and Theory for Embedded Systems
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 54,   Downloads (Overall): 83

Full text available: PDFPDF
The compiled native code generated by a just-in-time (JIT) compiler in managed language virtual machines (VM) is placed in a region of memory called the code cache. Code cache management (CCM) in a VM is responsible to find and evict methods from the code cache to maintain execution correctness and ...
Keywords: HotSpot JVM, Memory-constrained, Code-cache
Also published in:
August 2016  ACM SIGPLAN Notices - LCTES '16: Volume 51 Issue 5, May 2016

3 published by ACM
October 2015 OOPSLA 2015: Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications
Publisher: ACM
Citation Count: 4
Downloads (6 Weeks): 3,   Downloads (12 Months): 34,   Downloads (Overall): 138

Full text available: PDFPDF
Performance and energy efficiency in memory have become critically important for a wide range of computing domains. However, it is difficult to control and optimize memory power and performance because these effects depend upon activity across multiple layers of the vertical execution stack. To address this challenge, we construct a ...
Keywords: DRAM, Efficiency, Power, Cross-layer, HotSpot
Also published in:
December 2015  ACM SIGPLAN Notices - OOPSLA '15: Volume 50 Issue 10, October 2015

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