paper | Page 639 | hgpu.org

Applications

hgpu.org » paper

Fast, parallel and secure cryptography algorithm using Lorenz’s attractor

Anderson Goncalves Marco, Alexandre Souto Martinez, Odemir Martinez Bruno

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Security

March 28, 2012 by hgpu

Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems

Fengguang Song, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, nVidia, Tesla M2070

March 28, 2012 by hgpu

Improving Performance of OpenCL on CPUs

Ralf Karrenberg, Sebastian Hack

View

Download (PDF)

Tags: Code generation, Computer science, Data parallelism, OpenCL, Performance

March 27, 2012 by hgpu

Practical and Theoretical Aspects of a Parallel Twig Join Algorithm for XML Processing using a GPGPU

Lila Shnaiderman, Oded Shmueli

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce GTX 480

March 27, 2012 by hgpu

Accelerating Constraint Automata Composition with GPGPU Parallelization

Gunnar K. Vilbergsson

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Thesis

March 27, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Adaptive Row-grouped CSR Format for Storing of Sparse Matrices on GPU

Martin Heller, Tomas Oberhuber

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2070

March 27, 2012 by hgpu

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Seyong Lee, Rudolf Eigenmann

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP, Performance, Programming techniques

March 26, 2012 by hgpu

Massively Parallel Localization of Pulsed Signal Transitions Using a GPU

Vinitha Khambadkar, Lee Barford, Frederick C. Harris, Jr.

View

Download (PDF)

Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 480, Signal processing, Tesla C2050

March 26, 2012 by hgpu

A Parallel Access Method for Spatial Data Using GPU

Byoung-Woo Oh

View

Download (PDF)

Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 580

March 26, 2012 by hgpu

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Weibin Sun, Robert Ricci, Matthew L. Curry

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Data recovery, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system

March 26, 2012 by hgpu

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Shivani Raghav, Christian Pinto, Martino Ruggiero, Andrea Marongiu, David Atienza, Luca Benini

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Operating systems, Software Engineering, Tesla C2070

March 26, 2012 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Fast, parallel and secure cryptography algorithm using Lorenz’s attractor

Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems

Improving Performance of OpenCL on CPUs

Practical and Theoretical Aspects of a Parallel Twig Join Algorithm for XML Processing using a GPGPU

Accelerating Constraint Automata Composition with GPGPU Parallelization

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Adaptive Row-grouped CSR Format for Storing of Sparse Matrices on GPU

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Massively Parallel Localization of Pulsed Signal Transitions Using a GPU

A Parallel Access Method for Spatial Data Using GPU

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Most viewed papers (last 30 days)