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Performance Engineering of Scientific Applications with MVAPICH and TAU Using Emerging Communication Primitives

SessionPoster Presentations (Research, ACM SRC Grads/Undergrads)

DescriptionWe propose a co-design approach that integrates two powerful tools—MVAPICH and TAU—to demonstrate the new possibilities for performance-guided control and optimization for two large-scale applications—AWP-ODC and heFFTe. AWP-ODC is a highly scalable parallel finite-difference application with point-to-point operations that enables 3D earthquake calculations, while heFFTe is a massively parallel application that provides scalable and efficient implementations of the widely used Fast Fourier Transform using several MPI primitives. Through a deep integration between MVAPICH and TAU, the two applications can identify their performance bottlenecks on various supercomputers with different architectures. AWP-ODC and heFFTe can also act as representative real-world benchmarks to MVAPICH and TAU. We show how the co-design approach enables AWP-ODC and heFFTe to deliver better performance on cutting-edge HPC architectures. This is achieved using 1) more optimized and fine-tuned collective operations, and 2) reduced network traffic through real-time data compression.

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