high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Applying Source Level Auto-Vectorization to Aparapi Java

Frank Curtis Albert

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX Titan, OpenCL, Thesis

May 9, 2014 by hgpu

Learning Sparse Recurrent Neural Networks in Language Modeling

Yuanlong Shao

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan, Thesis

May 7, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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Tags: Computer science, GPGPU-sim, Performance, Thesis

May 7, 2014 by hgpu

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Brian Vyhnalek

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Tags: Artificial intelligence, ATI, ATI Radeon HD 6450, Computer science, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, OpenCL, Particle swarm optimization, Thesis

May 7, 2014 by hgpu

Accelerating Cryptosystems on Hardware Platforms

Wei Wang

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Tags: Cloud, Computer science, CUDA, FFT, nVidia, RSA, Security, Tesla C2050, Thesis

May 6, 2014 by hgpu

Multireduce and Multiscan on Modern GPUs

Marco Eilers

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Sorting, Thesis

May 6, 2014 by hgpu

Computer vision for continuous plankton monitoring

Damian Janusz Matuszewski

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Tags: Computer science, Computer vision, CUDA, Data acquisition, nVidia, nVidia GeForce GTX 480, OpenCV, Thesis

May 5, 2014 by hgpu

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Anirudh Mohan Kaushik

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Tesla C2075, Thesis

May 5, 2014 by hgpu

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Ramin Mafi

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Tags: CUDA, FEM, Finite element method, Image registration, nVidia, nVidia GeForce GTX 470, Physics, Surgical simulation, Thesis

May 5, 2014 by hgpu

Implementation of a PIC simulation using WebGL

Leonard Weydemann

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Tags: Computer science, GLSL, Java, nVidia, nVidia GeForce GT 310, nVidia GeForce GTX 760 M, OpenGL, Particle-in-cell methods, Thesis

May 3, 2014 by hgpu

A GPU Accelerated Simulator for CO2 Storage

Elisabeth K Prestegard

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Tags: Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GT 218, Physics, Thesis

April 29, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applying Source Level Auto-Vectorization to Aparapi Java

Learning Sparse Recurrent Neural Networks in Language Modeling

Improving the Programmability of GPU Architectures

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Multireduce and Multiscan on Modern GPUs

Computer vision for continuous plankton monitoring

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Implementation of a PIC simulation using WebGL

A GPU Accelerated Simulator for CO2 Storage

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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