high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

View

Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

A Hybrid Analytical DRAM Performance Model

George L. Yuan, Tor M. Aamodt

View

Download (PDF)

Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Ali Bakhoda, Tor M. Aamodt

View

Download (PDF)

Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

A Task-centric Memory Model for Scalable Accelerator Architectures

John H. Kelm, Daniel R. Johnson, Steven S. Lumetta, Matthew I. Frank, Sanjay J. Patel

View

Download (PDF)

Tags: Algorithms, Computer science, Hardware Architecture, Memory model

April 19, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

View

Download (PDF)

Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Dynamic detection of uniform and affine vectors in GPGPU computations

Sylvain Collange, David Defour, Yao Zhang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Hardware Architecture, nVidia, Optimization, Tesla

April 19, 2011 by hgpu

Parallel calculation of the median and order statistics on GPUs with application to robust regression

Gleb Beliakov

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Numerical Analysis, nVidia, Package, Tesla C2050

April 19, 2011 by hgpu

Building a Personal High Performance Computer with Heterogeneous Processors

Qiang Li, Zhigang Huo, Ninghui Sun

Tags: Computer science, Heterogeneous systems, Performance

April 18, 2011 by hgpu

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Zvika Guz, Evgeny Bolotin, Idit Keidar, Avinoam Kolodny, Avi Mendelson, Uri C. Weiser

View

Download (PDF)

Tags: ATI, Computer science, Intel, Larrabee, nVidia, Performance

April 18, 2011 by hgpu

TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters

Yuichi Taguchi, Takafumi Koike, Keita Takahashi, Takeshi Naemura

View

Download (PDF)

Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Rendering, Virtual reality

April 18, 2011 by hgpu

Fast Dynamic Voronoi Treemaps

Avneesh Sud, Danyel Fisher, Huai-Ping Lee

View

Download (PDF)

Tags: Computer science, DirectX, nVidia, nVidia GeForce GTX 260, Voronoi diagram

April 17, 2011 by hgpu

Enhancing Ubiquitous Systems through System Call Mining

Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, Data mining, nVidia

April 17, 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

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

A Hybrid Analytical DRAM Performance Model

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

A Task-centric Memory Model for Scalable Accelerator Architectures

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Dynamic detection of uniform and affine vectors in GPGPU computations

Parallel calculation of the median and order statistics on GPUs with application to robust regression

Building a Personal High Performance Computer with Heterogeneous Processors

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters

Fast Dynamic Voronoi Treemaps

Enhancing Ubiquitous Systems through System Call Mining

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)