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Graphics hardware / Video cards / Concurrent computing / Nvidia / Parallel computing / CUDA / Thread / Graphics processing unit / Multi-core processor / Computing / Computer hardware / GPGPU


Automated Dynamic Analysis of CUDA Programs Michael Boyer University of Virginia Dept. of Computer Science Charlottesville, VA 22904
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Document Date: 2011-06-21 07:45:44


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Company

GPU / Bank Conflicts Maximal Bank / CUDA Hardware / NVIDIA Corporation / ATI / Automated Bank Conflict / No Bank Conflicts / Intel / using Cuda / /

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Event

Product Release / /

Facility

Carnegie Mellon University / Westley Weimer University of Virginia Dept. / CUDA Programs Michael Boyer University of Virginia Dept. / University of Virginia Dept. / /

IndustryTerm

larger applications / prototype tool / bank conflict detection / manycore processors / cause_bank_conflicts / software instrumentation techniques / bank conflict analysis / distributed memory systems / bank conflict avoidance macro / manual bank conflict detection / memory-debugging tools / released software tools / desktop applications / bank / 3D rendering applications / instrumentation tool / memory bank / software layer / Type systems / static type systems / on-chip / adapting software instrumentation techniques / /

Organization

CUDA Programs Michael Boyer University of Virginia Dept. of Computer Science Charlottesville / National Science Foundation / University of Virginia Dept. of Computer Science Charlottesville / Carnegie Mellon University / /

Person

Kevin Skadron / /

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Position

variable type qualifier / function type qualifier / hardware scheduler / representative / programmer / /

Product

Close / Tesla / /

ProgrammingLanguage

Java / C / Fortran / /

ProvinceOrState

Virginia / /

RadioStation

6.2 With / /

Technology

virtual machine / SMs / API / shared memory / Java / manycore processors / /

SocialTag