NDLI: Runtime Pipeline Scheduling System for Heterogeneous Architectures

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Runtime Pipeline Scheduling System for Heterogeneous Architectures

Content Provider	ACM Digital Library
Author	Olaya, Julio C. Romero, Rodrigo A.
Abstract	Heterogeneous architectures can improve the performance of applications with computationally intensive, data-parallel operations. Even when these architectures may reduce the execution time of applications, there are opportunities for additional performance improvement as the memory hierarchy of the central processor cores and the graphics processor cores are separate. Applications executing on heterogeneous architectures must allocate space in the GPU global memory, copy input data, invoke kernels, and copy results to the CPU memory. This scheme does not overlap inter-memory data transfers and GPU computations, thus increasing application execution time. This research presents a software architecture with a runtime pipeline system for GPU input/output scheduling that acts as a bidirectional interface between the GPU computing application and the physical device. The main aim of this system is to reduce the impact of the processor-memory performance gap by exploiting device I/O and computation overlap. Evaluation using application benchmarks shows processing improvements with speedups above 2x with respect to baseline, non-streamed GPU execution.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450328937
DOI	10.1145/2616498.2616547
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-07-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Runtime Heterogeneous architecture Concurrency Scheduling Over-lapping Streams Pipeline
Content Type	Text
Resource Type	Article

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