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Compiler optimizations for directive-based programming for accelerators

Matias Piispanen

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Optimization

May 24, 2012 by hgpu

Fine-Grained Resource Sharing for Concurrent GPGPU Kernels

Chris Gregg, Jonathan Dorn, Kim Hazelwood, Kevin Skadron

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Programming techniques, Task scheduling

May 24, 2012 by hgpu

GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs

Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Tesla C1060

May 23, 2012 by hgpu

Investigating Warp Size Impact in GPUs

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, Hardware Architecture

May 23, 2012 by hgpu

Adaptive fast multipole methods on the GPU

Anders Goude, Stefan Engblom

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fast multipole method, nVidia, Package, Tesla C2075

May 23, 2012 by hgpu

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

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

Real-Time Systems with Radiation-Hardened Processors: A GPU-based Framework to Explore Tradeoffs

Mohammad Alhowaidi

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Tags: Computer science, nVidia, OpenCL, Sensing, Tesla M2050, Thesis

May 19, 2012 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Compiler optimizations for directive-based programming for accelerators

Fine-Grained Resource Sharing for Concurrent GPGPU Kernels

GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs

Investigating Warp Size Impact in GPUs

Adaptive fast multipole methods on the GPU

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

A GPU Algorithm for 3D Convex Hull

Real-Time Systems with Radiation-Hardened Processors: A GPU-based Framework to Explore Tradeoffs

Recent source codes

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

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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