high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Fabio Soldado, Fernando Alexandre, Herve Paulino

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance

October 25, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 by hgpu

Join Algorithms on GPUs: A Revisit After Seven Years

Ran Rui, Hao Li, Yi-Cheng Tu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Databases, nVidia

October 25, 2015 by hgpu

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

Jorge Alberto Castro Godinez

View

Download (PDF)

Tags: Computer science, Parallelization, Review, Thesis

October 22, 2015 by hgpu

A linguistic approach to concurrent, distributed, and adaptive programming across heterogeneous platforms

Paul Harvey

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, OpenCL, Thesis

October 22, 2015 by hgpu

Stadium Hashing: Scalable and Flexible Hashing on GPUs

Farzad Khorasani, Mehmet E. Belviranli, Rajiv Gupta, Laxmi N. Bhuyan

View

Download (PDF)

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 780

October 22, 2015 by hgpu

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing

Linnan Wang, Wei Wu, Jianxiong Xiao, Yi Yang

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX Titan X, Package, Performance, Tesla K40

October 22, 2015 by hgpu

Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain

Lev E. Givon, Aurel A. Lazar

View

Download (PDF)

Source codes

Tags: Biology, Computer science, CUDA, nVidia, OpenMPI, Tesla K20

October 22, 2015 by hgpu

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

David Fan

View

Download (PDF)

Tags: Algorithms, FPGA, Heterogeneous systems, nVidia, OpenCL, SAR, Signal processing, Tesla K40, Thesis

October 18, 2015 by hgpu

Self-Adapting Parallel Framework for Long-Term Object Tracking

Salim Mohammed Ali

View

Download (PDF)

Tags: AMD Radeon HD 8970 M, ATI, Computer science, Computer vision, nVidia, nVidia GeForce GTX 580, OpenCL, Thesis

October 18, 2015 by hgpu

A Network Intrusion Detection System Framework based on Hadoop and GPGPU

Sanraj Bandre, Jyoti Nandimath

View

Download (PDF)

Tags: Computer science, CUDA, Hadoop, nVidia, Security, Tesla K20

October 18, 2015 by hgpu

Performance analysis and optimization of a CFD application

Wentao Zhang

View

Download (PDF)

Tags: Finite difference, Fluid dynamics, Fortran, Heterogeneous systems, Intel Xeon Phi, Performance, Thesis

October 18, 2015 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

Applications

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Join Algorithms on GPUs: A Revisit After Seven Years

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

A linguistic approach to concurrent, distributed, and adaptive programming across heterogeneous platforms

Stadium Hashing: Scalable and Flexible Hashing on GPUs

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing

Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

Self-Adapting Parallel Framework for Long-Term Object Tracking

A Network Intrusion Detection System Framework based on Hadoop and GPGPU

Performance analysis and optimization of a CFD application

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)