SC13 Home > SC13 Schedule > SC13 Presentation - Enabling Efficient Data Movement in MPI and PGAS Models on Heterogeneous Clusters with High Performance Interconnects

SCHEDULE: NOV 16-22, 2013

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Enabling Efficient Data Movement in MPI and PGAS Models on Heterogeneous Clusters with High Performance Interconnects

SESSION: Doctoral Showcase - Dissertation Research

EVENT TYPE: Doctoral Showcase - Dissertation Research Showcase

TIME: 11:30AM - 11:45AM

SESSION CHAIR: Alistair Rendell

Presenter(s):Sreeram Potluri

ROOM:601/603

ABSTRACT:
Modern clusters with accelerators (GPUs) and coprocessors (Xeon Phis), while providing high compute density and high performance per watt, introduce heterogeneity and require developers to use a hierarchy of programming models and paradigms to design applications. This has increased the complexity and cost of data movement on these clusters. We propose MVAPICH2-GPU, a model to use MPI for communication from CPU and GPU memories, in a unified manner. We also extend the OpenSHMEM PGAS model to support such unified communication. These models considerably simplify data movement in MPI and OpenSHMEM applications running on GPU clusters. We also propose designs in MPI and OpenSHMEM runtimes to transparently optimize data movement on GPU clusters, using state-of-the-art GPU technologies such as CUDA IPC and GPUDirect RDMA. Further, we present an optimized MPI runtime for communication on clusters with Intel Xeon Phi coprocessors. We evaluate our designs using micro-benchmarks, application kernels and end-applications.

Chair/Presenter Details:

Alistair Rendell (Chair) - Australian National University

Sreeram Potluri - Ohio State University

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