high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Possible planet-forming regions on submillimetre images

Zsolt Regaly, A. Juhasz, Zs. Sandor, C. P. Dullemond

View

Tags: Astrophysics, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Package, Solar and Stellar Astrophysics

September 29, 2011 by hgpu

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

View

Tags: Algorithms, ATI, ATI Radeon HD 4850, Benchmarking, Computer science, OpenCL, Optimization, Software Engineering

September 28, 2011 by hgpu

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Constantin Timm, Frank Weichert, Peter Marwedel, Heinrich Muller

View

Tags: Computer science, Design space exploration, Energy-efficient computing, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, nVidia ION, OpenCL, Sensing

September 28, 2011 by hgpu

Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA

Da-Qi Ren, Reiji Suda

View

Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS, Optimization, Tesla C2050

September 28, 2011 by hgpu

2PARMA: Parallel Paradigms and Run-time Management Techniques for Many-Core Architectures

C.Silvano, W.Fornaciari, S.Crespi Reghizzi, G.Agosta, G.Palermo, V.Zaccaria, P.Bellasi, F.Castro, S.Corbetta, A.Di Biagio, E.Speziale, M. Tartara, D.Siorpaes, H.Hubert, B.Stabernack, J.Brandenburg, M.Palkovic, P.Raghavan, C.Ykman-Couvreur, A.Bartzas, S.Xydis, D.Soudris, T.Kempf, G.Ascheid, R.Leupers, H.Meyr, J.Ansari, P.Mahonen, B.Vanthournout

View

Tags: Compilers, Computer science, Design space exploration, OpenCL, Performance, Programming techniques, Software Engineering

September 28, 2011 by hgpu

Parallelizing fuzzy rule generation using GPGPU

Takesuke Uenishi, Tomoharu Nakashima and Noriyuki Fujimoto

View

Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Optimization, Performance

September 28, 2011 by hgpu

VoxelPipe: a programmable pipeline for 3D voxelization

Jacopo Pantaleoni

View

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing, Sorting, Voxelization

September 28, 2011 by hgpu

Thread Block Compaction for Efficient SIMT Control Flow

Wilson W. L. Fung, Tor M. Aamodt

View

Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Programming techniques

September 28, 2011 by hgpu

Parallel implementations of probabilistic latent semantic analysis on graphic processing units

Hang Chen

View

Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Text mining, Thesis

September 27, 2011 by hgpu

Software Development Tools Using GPGPU Potentialities

V.A. Dudnik, V.I. Kudryavtsev, T.M. Sereda, S.A. Us, M.V. Shestakov

View

Tags: Computer science, OpenCL, Programming techniques, Review

September 27, 2011 by hgpu

Fast On-line Statistical Learning on a GPGPU

FangZhou Xiao, Eric McCreath, Christfried Webers

View

Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 200, nVidia GeForce GTX 295, Stochastic simulation

September 27, 2011 by hgpu

Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes

S. Escalera, A. Puig, O. Amoros, M. Salamo

View

Tags: Algorithms, ATI, Computer science, Machine learning, nVidia, nVidia GeForce GTX 470, OpenCL, Rendering, Visualization

September 27, 2011 by hgpu

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

Hardware-Aware FP4 FlashAttention-4

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

See all packages

* * *

* * *

HGPU group © 2010-2026 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: