Computer science | Page 311

Applications

hgpu.org » Applications » Computer science

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680

May 14, 2014 by hgpu

Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm

Gang Mei

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Geoscience, nVidia, nVidia GeForce GT 640

May 14, 2014 by hgpu

Build and Travel KD-Tree with CUDA

Meng Zhou

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

May 14, 2014 by hgpu

Cluster-Level Tuning of a Shallow Water Equation Solver on the Intel MIC Architecture

Andrey Vladimirov, Cliff Addison

View

Download (PDF)

Tags: cfd, Fluid dynamics, intel mic, Intel Xeon Phi, MPI, OpenMP

May 13, 2014 by Andrey Vladimirov

Impact of Modern OpenGL on FPS

Jan Cejka

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, nVidia Quadro 6000, OpenGL, Performance, Rendering

May 13, 2014 by hgpu

Deriving Shape Grammars on the GPU

Mark Dokter

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Performance

May 13, 2014 by hgpu

K-Means on GPU: A Review

Vidya Dhamdhere, Rahul G. Ghudji

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, Review

May 13, 2014 by hgpu

Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Aruna Dore, Sunitha Lasrado

View

Download (PDF)

Tags: Computer science, Edge detection, Filtering, nVidia, nVidia GeForce GTX 470, OpenCL, Performance

May 13, 2014 by hgpu

Geometric Algebra Enhanced Precompiler for C++, OpenCL and Mathematica’s OpenCLLink

Patrick Charrier, Mariusz Klimek, Christian Steinmetz, Dietmar Hildenbrand

View

Download (PDF)

Source codes

Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, OpenCL, Package

May 12, 2014 by hgpu

Dynamic Orchestration of Massively Data Parallel Execution

Mehrzad Samadi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL, Performance, Tesla C2050, Thesis

May 10, 2014 by hgpu

Fine-grain Task Aggregation and Coordination on GPUs

Marc S. Orr, Bradford M. Beckmann, Steven K. Reinhardt, David A. Wood

View

Download (PDF)

Tags: Computer science, GPGPU-sim, Hardware Architecture, OpenCL, Performance

May 10, 2014 by hgpu

A Study of the Parallelization of Hybrid SAT Solver using CUDA

Taeill Yoo, Sangpil Kim, Yongjin Yeom, Jusung Kang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660, SAT, Security

May 10, 2014 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm

Build and Travel KD-Tree with CUDA

Cluster-Level Tuning of a Shallow Water Equation Solver on the Intel MIC Architecture

Impact of Modern OpenGL on FPS

Deriving Shape Grammars on the GPU

K-Means on GPU: A Review

Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Geometric Algebra Enhanced Precompiler for C++, OpenCL and Mathematica’s OpenCLLink

Dynamic Orchestration of Massively Data Parallel Execution

Fine-grain Task Aggregation and Coordination on GPUs

A Study of the Parallelization of Hybrid SAT Solver using CUDA

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

Most viewed papers (last 30 days)