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ACM SIGPLAN Notices, 2009
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from NVIDIA offers improved programmability for general computing, programming GPGPUs is still complex and error-prone.
Lee, Seyong +2 more
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GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from NVIDIA offers improved programmability for general computing, programming GPGPUs is still complex and error-prone.
Lee, Seyong +2 more
openaire +2 more sources
Altis: Modernizing GPGPU Benchmarks
2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2020This paper presents ALTIS, a benchmark suite for modern GPGPU computing. Previous benchmark suites such as Rodinia and SHOC have served the research community well, but were developed years ago when hardware was more limited, software supported fewer features, and production hardware-accelerated workloads were scarce.
Bodun Hu, Christopher J. Rossbach
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2012
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?? ???????????????????? ???????????????????????? ?????????????????? ???????????? ???????????????????????????? ???????????????????? ???????????? GPGPU ?? ?????????????????? ?????????????????????? ?????????????????????? ?????????????????? ?? ?????????????????????????? ????????????????????-?????????????????????? ????????????????. ???????????????? ?????????
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Towards predicting GPGPU performance for concurrent workloads in Multi-GPGPU environment
Cluster Computing, 2020General-purpose graphics processing units (GPGPUs) have been widely adapted to the industry due to the high parallelism of graphics processing units (GPUs) compared with central processing units (CPUs). Especially, a GPGPU device has been adopted for various scientific workloads which have high parallelism.
Sunggon Kim +3 more
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Speculative parallelization on GPGPUs
ACM SIGPLAN Notices, 2012This paper overviews the first speculative parallelization technique for GPUs that can exploit parallelism in loops even in the presence of dynamic irregularities that may give rise to cross-iteration dependences. The execution of a speculatively parallelized loop consists of five phases: scheduling, computation, misspeculation check, result committing,
Min Feng, Rajiv Gupta, Laxmi N. Bhuyan
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2017
?????????????????????????? ?????????? ???????????? ?????????????????????? ?????????????????????????? ?????????????????? GPGPU ?????????????????????? ???? ?????????????????? ?????????????????????????? ?????????????? ?????????? ??????????. ???????????????????? ???????????? ?????????????????? ???? ???????????????????? ??????????????? ???? ?????????? ??????
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?????????????????????????? ?????????? ???????????? ?????????????????????? ?????????????????????????? ?????????????????? GPGPU ?????????????????????? ???? ?????????????????? ?????????????????????????? ?????????????? ?????????? ??????????. ???????????????????? ???????????? ?????????????????? ???? ???????????????????? ??????????????? ???? ?????????? ??????
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Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming, 2014
GPGPU programming promises high performance. However, to achieve it, developers must overcome several challenges. The main ones are: write and use hyper-parallel kernels on GPU, manage memory transfers between CPU and GPU, and compose kernels, keeping individual performance of components while optimizing the global performance.
Bourgoin, Mathias, Chailloux, Emmanuel
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GPGPU programming promises high performance. However, to achieve it, developers must overcome several challenges. The main ones are: write and use hyper-parallel kernels on GPU, manage memory transfers between CPU and GPU, and compose kernels, keeping individual performance of components while optimizing the global performance.
Bourgoin, Mathias, Chailloux, Emmanuel
openaire +2 more sources
GPGPU-Perf: efficient, interval-based DVFS algorithm for mobile GPGPU applications
The Visual Computer, 2015Although general purpose computations on graphics processing unit (GPGPU) technologies are available even on GPUs, their performance has been seriously affected by the underlying dynamic voltage and frequency scaling (DVFS) mechanism of GPU. In order to save the energy, eventually prolonging the battery life, the DVFS adjusts the GPU's frequency ...
SeongKi Kim, Young J. Kim
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Emerging technology about GPGPU
APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, 2008By a rapid development of graphics processing unit (GPU), the programmability and highly parallel processing feature of GPU create a chance to allow the general purpose computation to be conducted on GPU, conventionally called GPGPU (general purpose computation on GPU). A brief survey, in particular on the rationale of how the GPU architecture leads to
null Enhua Wu, null Youquan Liu
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2016
Current data centers leverage virtual machines (VMs) in order to efficiently use hardware resources. VMs allow reducing equipment acquisition costs as well as decreasing overall energy consumption. However, although VMs have noticeably evolved to make a smart use of the underlying hardware, the use of GPUs (Graphics Processing Units) for General ...
Javier Prades +3 more
openaire +1 more source
Current data centers leverage virtual machines (VMs) in order to efficiently use hardware resources. VMs allow reducing equipment acquisition costs as well as decreasing overall energy consumption. However, although VMs have noticeably evolved to make a smart use of the underlying hardware, the use of GPUs (Graphics Processing Units) for General ...
Javier Prades +3 more
openaire +1 more source