high performance computing on graphics processing units: hgpu.org

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 2013 by hgpu

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Tushar Mungle, Govardhan Hegde, Srikanth Prabhu, N.GopalaKrishna Kini

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Tags: Biometrics, Computer science, MPI, OpenCL, Security

January 23, 2013 by hgpu

Burrows-Wheeler Aligner: A Parallel Approach

Sheridan Lee Wright

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Tags: Algorithms, Bioinformatics, Biology, CUDA, MPI, nVidia, Sequence alignment, Thesis

January 16, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Computer Simulation of Saturn’s Ring Structure

C Language Extensions for Hybrid CPU/GPU Programming with StarPU

Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Parallel Shooting and Bouncing Ray Method on GPU Clusters for Analysis of Electro-Magnetic Scattering

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Burrows-Wheeler Aligner: A Parallel Approach

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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