high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Shubham Gupta, M.Rajasekhara Babu

View

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GT 210 M, OpenMP, Performance, String matching

December 6, 2011 by hgpu

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Adrien Bernhardt, Andre Maximo, Luiz Velho, Houssam Hnaidi, Marie-Paule Cani

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GTS 480, OpenGL, Real-time graphics, Rendering, Tessellation

December 6, 2011 by hgpu

Soft Error Resilient QR Factorization for Hybrid System with GPGPU

Peng Du, Piotr Luszczek, Stan Tomov, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Factorization, Hybrid computing, nVidia, Tesla C2050, Tesla M2070

December 5, 2011 by hgpu

Real-Time Handling of GPU Interrupts in LITMUS RT

Glenn A. Elliott, Chih-Hao Sun, James H. Anderson

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Operating systems

December 5, 2011 by hgpu

A dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms

Alecio Pedro Delazari Binotto

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, OpenCL, Task scheduling, Thesis

December 5, 2011 by hgpu

Scalable Query Evaluation in Relational Databases

Rasmus Resen Amossen

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, Matrix multiplication, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Python, Thesis

December 5, 2011 by hgpu

GROPHECY: GPU performance projection from CPU code skeletons

Jiayuan Meng, Vitali A. Morozov, Kalyan Kumaran, Venkatram Vishwanath, Thomas D. Uram

View

Download (PDF)

Tags: Analytical model, Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

December 5, 2011 by hgpu

GPU-Based Parallel Multi-objective Particle Swarm Optimization

You Zhou, Ying Tan

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, Optimization

December 4, 2011 by hgpu

Communication-avoiding QR decomposition for GPUs

Michael Anderson, Grey Ballard, James Demmel, Kurt Keutzer

View

Download (PDF)

Tags: Algorithms, Computer science, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 480, Tesla C2050

December 4, 2011 by hgpu

Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

Fumihiko Ino, Yuma Munekawa, Kenichi Hagihara

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Search, Smith-Waterman algorithm

December 4, 2011 by hgpu

Computing Strongly Connected Components in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

December 4, 2011 by hgpu

Multi-GPU Load Balancing for In-situ Visualization

R. Hagan, Y. Cao

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 295, Raytracing, Rendering, Visualization

December 4, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

* * *

high performance computing on graphics processing units: hgpu.org

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Soft Error Resilient QR Factorization for Hybrid System with GPGPU

Real-Time Handling of GPU Interrupts in LITMUS RT

A dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms

Scalable Query Evaluation in Relational Databases

GROPHECY: GPU performance projection from CPU code skeletons

GPU-Based Parallel Multi-objective Particle Swarm Optimization

Communication-avoiding QR decomposition for GPUs

Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

Computing Strongly Connected Components in Parallel on CUDA

Multi-GPU Load Balancing for In-situ Visualization

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

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

Most viewed papers (last 30 days)