CSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication PrimitivesCSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication Primitives

CSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication PrimitivesCSSI Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication Primitives

<p dir="ltr">Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfortunately, state-of-the-art production quality implementations of the popular Message Passing Interface (MPI) programming model do not have the appropriate support to deliv...

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Bibliographic Details
Main Author: Dhabaleswar K. Panda (455103) (author)
Other Authors: Sameer Shende (3754270) (author), Yifeng Cui (5225105) (author), Ahmad Abdelfattah (8437453) (author)
Published: 2025
Subjects:
Concurrent/parallel systems and technologies
Distributed systems and algorithms
High performance computing
Networking and communications
Distributed computing and systems software not elsewhere classified
Accelerators
NSF-CSSI-2025_Poster
mpi implementation
GPU
HPC
Deep Learning
AI
MPI
Scalability
Datatypes
Performance
CUDA-aware MPI
CUDA-aware I/O
Distributed Computing
Performance Engineering
FFT
Seismic Simulation Software
Exascale Computing
MVAPICH
TAU
AWP-ODC
heFFTe
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