high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms

Sebastian Bress, Siba Mohammad, Eike Schallehn

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

May 20, 2012 by hgpu

High-Level Support for Pipeline Parallelism on Many-Core Architectures

Siegfried Benkner, Enes Bajrovic, Erich Marth, Martin Sandrieser, Raymond Namyst, Samuel Thibault

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480

May 20, 2012 by hgpu

Computing 2D Alpha Shapes Using GPU

Srinivasan Kidambi Sridharan, Ashwin Nanjappa

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package

May 20, 2012 by hgpu

Spatial Data Structures, Sorting and GPU Parallelism for Situated-agent Simulation and Visualisation

A.V. Husselmann, K.A. Hawick

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Tags: Computer science, CUDA, Data parallelism, N-body simulation, nVidia, nVidia GeForce GTX 590, Sorting

May 20, 2012 by hgpu

CUDA Based Enhanced Differential Evolution: a Computational Analysis

Donald Davendra, Jan Gaura, Magdalena Bialic-Davendra, Roman Senkerik

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Tags: Algorithms, Computer science, CUDA, Differential evolution, nVidia, Tesla C2050

May 20, 2012 by hgpu

Combustion Simulations Using Graphic Processing Units

Mingjie Wang

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Tags: Algorithms, CUDA, nVidia, Physics, Tesla S1070

May 19, 2012 by hgpu

A GPU Algorithm for 3D Convex Hull

Mingcen Gao, Thanh-Tung Cao, Ashwin Nanjappa, Tiow-Seng Tan, Zhiyong Huang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

May 19, 2012 by hgpu

SPOC: GPGPU Programming Through Stream Processing With OCaml

Mathias Bourgoin, Emmanuel Chailloux, Jean-Luc Lamotte

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Tags: ATI, ATI Radeon HD 6950, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

May 19, 2012 by hgpu

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

VCV.Rao, Nisha Agrawa, Samrit Maity

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Tags: AMD FirePro V5900, AMD FirePro V7900, AMD FireStream 9350, ATI, Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, OpenCL, Partial differential equations, PDEs, Tesla C2060

May 19, 2012 by hgpu

An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)

He Huang, Liqiang Wang, En-Jui Lee, Po Chen

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Tags: Computer science, CUBLAS, CUDA, Earth and Space Sciences, Geoscience, MPI, nVidia, Optimization, Tesla C2050, Tesla M2070

May 19, 2012 by hgpu

High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Heisenberg model, Monte Carlo simulation, nVidia, Physics, Rendering, Stochastic simulation

May 19, 2012 by hgpu

Accelerated GPU Simulation of Compressible Flow by the Discontinuous Evolution Galerkin Method

Block B. J., Lukacova-Medvid'ova M., Virnau P., Yelash L.

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Tags: CUDA, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 580

May 19, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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high performance computing on graphics processing units: hgpu.org

Programming

Self-Tuning Distribution of DB-Operations on Hybrid CPU/GPU Platforms

High-Level Support for Pipeline Parallelism on Many-Core Architectures

Computing 2D Alpha Shapes Using GPU

Spatial Data Structures, Sorting and GPU Parallelism for Situated-agent Simulation and Visualisation

CUDA Based Enhanced Differential Evolution: a Computational Analysis

Combustion Simulations Using Graphic Processing Units

A GPU Algorithm for 3D Convex Hull

SPOC: GPGPU Programming Through Stream Processing With OCaml

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)

High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

Accelerated GPU Simulation of Compressible Flow by the Discontinuous Evolution Galerkin Method

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

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

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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