high performance computing on graphics processing units: hgpu.org

hgpu.org » Programming techniques

Accelerating Dynamic Binary Translation with GPUs

Chung Hwan Kim, Srikanth Manikarnike, Vaibhav Sharma, Eric Eide, Robert Ricci

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia ION, Programming techniques

February 28, 2013 by hgpu

Offload Compiler Runtime for the Intel Xeon Phi Coprocessor

Chris J. Newburn, Rajiv Deodhar, Serguei Dmitriev, Ravi Murty, Ravi Narayanaswamy, John Wiegert, Francisco Chinchilla, Russell McGuire

View

Download (PDF)

Tags: Compilers, Computer science, Heterogeneous systems, Intel, Intel Phi, Programming techniques

February 18, 2013 by hgpu

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

View

Download (PDF)

Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Ben Romdhanne Bilel, Nikaein Navid, Mohamed Said Mosli Bouksiaa, Christian Bonnet

View

Download (PDF)

Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 460, Programming techniques

February 3, 2013 by hgpu

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance, Prefetch, Programming techniques

January 31, 2013 by hgpu

Automatic Parallelization for GPUs

Thomas B. Jablin

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques, Thesis

January 26, 2013 by hgpu

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Baha Sen, Nesrin Aydin Atasoy, Caner Ozcan

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, OpenMP, Performance, Programming techniques

January 7, 2013 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Towards Building Error Resilient GPGPU Applications

Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla C2075

December 8, 2012 by hgpu

Mapping Streaming Applications to OpenCL

Abhishek Ray

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6970, Computer science, nVidia, OpenCL, Programming techniques, Tesla C2050

December 5, 2012 by hgpu

Kite: Braided Parallelism for Heterogeneous Systems

J. Garrett Morris, Benedict R. Gaster, Lee Howes

View

Download (PDF)

Tags: Compilers, Computer science, Heterogeneous systems, OpenCL, Programming techniques

November 5, 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

Accelerating Dynamic Binary Translation with GPUs

Offload Compiler Runtime for the Intel Xeon Phi Coprocessor

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Automatic Parallelization for GPUs

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Towards Building Error Resilient GPGPU Applications

Mapping Streaming Applications to OpenCL

Kite: Braided Parallelism for Heterogeneous Systems

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)