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

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

Sebastian Thomas, James D. Baeder

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 640

January 22, 2013 by hgpu

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

Laszlo Szirmay-Kalos, Milan Magdics, Balazs Toth, Balazs Csebfalvi, Tamas Umenhoffer, Judit Lantos, Gergely Patay

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Tags: Computer science, CUDA, Filtering, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, PET, Probability

January 20, 2013 by hgpu

GPU-accelererated regularisation of large diffusion-tensor volumes

Tuomo Valkonen, Manfred Liebmann

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Tags: Algorithms, Diffusion tensor, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2070

January 18, 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

Implementing an architecture for efficient network traffic processing on modern graphics hardware

Document Stream Clustering using GPUs

Efficient Wave Propagation in Discontinuous Media and Complex Geometry for Many-core Architectures

Parallelization of the QR Decomposition with Column Pivoting Using Column Cyclic Distribution on Multicore and GPU Processors

GPUDet: A Deterministic GPU Architecture

Efficient Implementation of MrBayes on multi-GPU

A dataflow-like programming model for future hybrid clusters

Automatic Parallelization for GPUs

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

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

Fast Positron Range Calculation in Heterogeneous Media for 3D PET Reconstruction

GPU-accelererated regularisation of large diffusion-tensor volumes

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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