Peng-Chung Yew

Affiliations: 
Computer Science University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Computer Science
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"Peng-Chung Yew"

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Tong Chen grad student 2011 UMN
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Publications

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Mehta S, Yew PC. (2016) Variable liberalization Acm Transactions On Architecture and Code Optimization. 13
Mehta S, Garg R, Trivedi N, et al. (2016) TurboTiling: Leveraging prefetching to boost performance of tiled codes Proceedings of the International Conference On Supercomputing. 1
Mehta S, Yew PC. (2015) Improving compiler scalability: Optimizing large programs at small price Proceedings of the Acm Sigplan Conference On Programming Language Design and Implementation (Pldi). 2015: 143-152
Holey A, Mekkat V, Yew PC, et al. (2015) Performance-energy considerations for shared cache management in a heterogeneous multicore processor Acm Transactions On Architecture and Code Optimization. 12
Chang CJ, Peng YC, Chen CC, et al. (2015) Adaptive granularity and coordinated management for timely prefetching in multi-core systems 2015 International Symposium On Vlsi Design, Automation and Test, Vlsi-Dat 2015
Wu C, Li J, Xu D, et al. (2015) FPS: A fair-progress process scheduling policy on shared-memory multiprocessors Ieee Transactions On Parallel and Distributed Systems. 26: 444-454
Lv F, Liu L, Cui HM, et al. (2015) Wisethrottling: A new asynchronous task scheduler for mitigating i/o bottleneck in large-scale datacenter servers Journal of Supercomputing. 71: 3054-3093
Fang Z, Mehta S, Yew PC, et al. (2014) Measuring microarchitectural details of multi- and many-core memory systems through microbenchmarking Acm Transactions On Architecture and Code Optimization. 11
Mehta S, Fang Z, Zhai A, et al. (2014) Multi-stage coordinated prefetching for present-day processors Proceedings of the International Conference On Supercomputing. 73-82
Lyu YH, Hong DY, Wu TY, et al. (2014) DBILL: An efficient and retargetable dynamic binary instrumentation framework using LLVM backend Vee 2014 - Proceedings of the 10th Acm Sigplan/Sigops International Conference On Virtual Execution Environments. 141-152
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