high performance computing on graphics processing units: hgpu.org

Brian K. Spears, James Brase, Peer-Timo Bremer, Barry Chen, John Field, Jim Gaffney, Michael Kruse, Steve Langer, Katie Lewis, Ryan Nora, Jayson Luc Peterson, Jayaraman Jayaraman Thiagarajan, Brian Van Essen, Kelli Humbird

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Tags: Deep learning, Physics, Plasma physics

August 26, 2018 by hgpu

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Daina Moise, Simon J. Pennycook, Kristyn Maschoff, Jason Sewall, Nalini Kumar, Shirley Ho, Mike Ringenburg, Prabhat, Victor Lee

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Source codes

Tags: Astrophysics, Cosmology, CUDA, Deep learning, Intel Xeon Phi, Machine learning, nVidia, Package, TensorFlow, Tesla P100

August 19, 2018 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

pp-template: Template for Performance-Portable code development, targeting HOST-DEVICE computer architectures

An approach to performance portability through generic programming

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high performance computing on graphics processing units: hgpu.org

Applications

OpenCL vs: Accelerated Finite-Difference Digital Synthesis

Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation

A Package for Multi-Dimensional Monte Carlo Integration on Multi-GPUs

Direct N-body code on low-power embedded ARM GPUs

Targeting GPUs with OpenMP Directives on Summit: A Simple and Effective Fortran Experience

StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations

Towards Lattice Quantum Chromodynamics on FPGA devices

Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms

Cracks in the Sky: Abelian-Higgs Cosmic String Evolution with CUDA

Deep learning: A guide for practitioners in the physical sciences

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Kernel Tuner

GT4Py: GridTools for Python

miniBUDE: A BUDE virtual-screening benchmark, in many programming models

gossip: Efficient Communication Primitives for Multi-GPU Systems

AUCMEDI: a framework for Automated Classification of Medical Images

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

pp-template: Template for Performance-Portable code development, targeting HOST-DEVICE computer architectures

Most viewed papers (last 30 days)