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Parallel computing / Computer architecture / Graphics hardware / Video cards / Nvidia / OpenCL / CUDA / Kernel / Thread / Computing / GPGPU / Computer hardware


Speculative Execution on Multi-GPU Systems Gregory Diamos and Sudhakar Yalamanchili School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, Georgia 30332–0250
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Document Date: 2011-06-30 03:27:09


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Company

NVIDIA / GPU / Deallocating Resources / CUDA / Intel / OpenCL / The AES / /

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Facility

Computer Engineering Georgia Institute of Technology Atlanta / /

IndustryTerm

benchmark applications / technology nodes / multi-accelerator systems / heterogeneous many-core processors / given processor / list scheduling algorithm / software implementation / out-of-order processor / leaves containing processors / heterogeneous systems / performance applications / generic algorithm / improved scheduling algorithm / sequential applications / media processing / domain specific applications / reconstruction algorithm / multiaccelerator systems / /

MarketIndex

UIUC Parboil / /

OperatingSystem

Ubuntu / /

Organization

Electrical and Computer Engineering Georgia Institute of Technology Atlanta / Sudhakar Yalamanchili School of Electrical / /

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Position

writer / scheduler / CPU g_maxs PetrinetKernel Scheduler / Harmony execution model for future work / programmer / /

Product

Ocelot / Harmony / GT200 GPUs / CPU / Harmony Application / /

ProgrammingLanguage

Cilk / C / /

RadioStation

Core / /

Technology

BBs / MPEG / load balancing / given processor / out-of-order processor / ten processors / generic algorithm / improved scheduling algorithm / leaves containing processors / list scheduling algorithm / 3D MRI reconstruction algorithm / simulation / scheduling algorithm / MRI / /

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