high performance computing on graphics processing units: hgpu.org

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Benchmarking the cost of thread divergence in CUDA

Piotr Bialas, Adam Strzelecki

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GT 610, nVidia GeForce GT 755 M, nVidia GeForce GTX 480, nVidia GeForce GTX 650 M, nVidia GeForce GTX 770, nVidia GeForce GTX 850 M, Performance

April 8, 2015 by hgpu

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

Farouk Mansouri, Sylvain Huet, Dominique Houzet

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GT 610, nVidia GeForce GTX Titan, nVidia Quadro 4000, Signal processing

December 20, 2014 by hgpu

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Jan Sikorski

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Tags: CUDA, Field equations, nVidia, nVidia GeForce GT 610, Physics, Thesis

April 13, 2014 by hgpu

GPU Based Performance Acceleration of Radar Imaging Algorithms

V. Jithesh, K.P. Jacob

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GT 610, OpenCL

April 1, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

K. Shuma Roshini, M. Tejaswi

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GT 610, Video encoding

November 17, 2013 by hgpu

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

C.P.Patidar, Meena Sharma

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GT 610

September 11, 2013 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Benchmarking the cost of thread divergence in CUDA

SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

GPU Based Performance Acceleration of Radar Imaging Algorithms

Large scale 3D shape retrieval by exploiting multi-core and GPU

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

Histogram Computations on GPUs Kernel using Global and Shared Memory Atomics

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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