high performance computing on graphics processing units: hgpu.org

Heiko Burau, Renee Widera, Wolfgang Honig, Guido Juckeland, Ale Debus, Thomas Kluge, Ulrich Schramm, Tomas E. Cowan, Roland Sauerbrey, Michael Bussmann

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Tags: CUDA, GPU cluster, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla S1070

November 7, 2010 by hgpu

Data-intensive document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data mining, GPU cluster, nVidia

November 7, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

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high performance computing on graphics processing units: hgpu.org

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Domain Decomposition method on GPU cluster

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Direct N-body simulations of globular clusters: (I) Palomar 14

Multi GPU Performance of Conjugate Gradient Algorithm with Staggered Fermions

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Graphic-Card Cluster for Astrophysics (GraCCA) – Performance Tests

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

Data-intensive document clustering on GPU clusters

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second