Streamlining Offload Computing to High Performance Architectures

Purcell, Mark; Callanan, Owen; Gregg, David

doi:10.1007/978-3-642-01970-8_98

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…If a kernel is 20Â or 30Â faster on a specific system, as demonstrated in this work, then the overhead of a remote procedure call may be acceptable, even for large data sets. We are investigating existing solutions, such as IBM Dynamic Application Virtualization [45], and will extend KPPA to generate model interfaces for remote kernels.…”

Section: Future Workmentioning

confidence: 99%

Automatic Generation of Multicore Chemical Kernels

Linford

Michalakes

Vachharajani

et al. 2011

IEEE Trans. Parallel Distrib. Syst.

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This work presents the Kinetics PreProcessor: Accelerated (KPPA), a general analysis and code generation tool that achieves significantly reduced time-to-solution for chemical kinetics kernels on three multicore platforms: NVIDIA GPUs using CUDA, the Cell Broadband Engine, and Intel Quad-Core Xeon CPUs. A comparative performance analysis of chemical kernels from WRFChem and the Community Multiscale Air Quality Model (CMAQ) is presented for each platform in double and single precision on coarse and fine grids. We introduce the multicore architecture parameterization that KPPA uses to generate a chemical kernel for these platforms and describe a code generation system that produces highly tuned platform-specific code. Compared to state-of-the-art serial implementations, speedups exceeding 25Â are regularly observed, with a maximum observed speedup of 41:1Â in single precision.

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Section: Future Workmentioning

confidence: 99%

Automatic Generation of Multicore Chemical Kernels

Linford

Michalakes

Vachharajani

et al. 2011

IEEE Trans. Parallel Distrib. Syst.

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“…The Virtualizer component of IBM Dynamic Application Virtualization (DAV) was developed to address this offloading problem [6,7]. However, it has only been used for accelerating financial business applications, such as offloading Microsoft Excel calculations to IBM Cell B.E.…”

Section: Introductionmentioning

confidence: 99%

Accelerating Climate and Weather Simulations Through Hybrid Computing

Zhou

Cruz

Duffy

et al. 2010

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing

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SUMMARYUnconventional multi-and many-core processors (e.g. IBM Cell B.E. TM and NVIDIA GPU) have emerged as effective accelerators in trial climate and weather simulations. Yet these climate and weather models typically run on parallel computers with conventional processors (e.g. Intel , AMD , and IBM) using Message Passing Interface. To address challenges involved in efficiently and easily connecting accelerators to parallel computers, we investigated using IBM's Dynamic Application Virtualization TM (IBM DAV) software in a prototype hybrid computing system with representative climate and weather model components. The hybrid system comprises two Intel blades and two IBM QS22 Cell B.E. blades, connected with both InfiniBand (IB) and 1-Gigabit Ethernet. The system significantly accelerates a solar radiation model component by offloading compute-intensive calculations to the Cell blades. Systematic tests show that IBM DAV can seamlessly offload compute-intensive calculations from Intel blades to Cell B.E. blades in a scalable, load-balanced manner. However, noticeable communication overhead was observed, mainly due to IP over the IB protocol. Full utilization of IB Sockets Direct Protocol and the lower latency production version of IBM DAV will reduce this overhead.

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“…The Virtualizer component of IBM Dynamic Application Virtualization (IBM DAV) was developed to address this offloading problem [9,10]. However, it has only been used for accelerating financial business applications, such as offloading Microsoft Excel calculations to IBM Cell B.E.…”

Section: Introductionmentioning

confidence: 99%

Accelerating climate and weather simulations through hybrid computing

Zhou

Cruz

Duffy

et al. 2011

Concurrency and Computation

Self Cite

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SUMMARY Unconventional multi‐ and many‐core processors (e.g. IBM ® Cell B.E. TM and NVIDIA ® GPU) have emerged as effective accelerators in trial climate and weather simulations. Yet these climate and weather models typically run on parallel computers with conventional processors (e.g. Intel ®, AMD ®, and IBM) using Message Passing Interface. To address challenges involved in efficiently and easily connecting accelerators to parallel computers, we investigated using IBM's Dynamic Application Virtualization TM (IBM DAV) software in a prototype hybrid computing system with representative climate and weather model components. The hybrid system comprises two Intel blades and two IBM QS22 Cell B.E. blades, connected with both InfiniBand ® (IB) and 1‐Gigabit Ethernet. The system significantly accelerates a solar radiation model component by offloading compute‐intensive calculations to the Cell blades. Systematic tests show that IBM DAV can seamlessly offload compute‐intensive calculations from Intel blades to Cell B.E. blades in a scalable, load‐balanced manner. However, noticeable communication overhead was observed, mainly due to IP over the IB protocol. Full utilization of IB Sockets Direct Protocol and the lower latency production version of IBM DAV will reduce this overhead. Copyright © 2011 John Wiley & Sons, Ltd.

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Streamlining Offload Computing to High Performance Architectures

Cited by 3 publications

References 5 publications

Automatic Generation of Multicore Chemical Kernels

Automatic Generation of Multicore Chemical Kernels

Accelerating Climate and Weather Simulations Through Hybrid Computing

Accelerating climate and weather simulations through hybrid computing

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