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Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Ru Zhu

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Tags: ATI, ATI Radeon HD 7970, C++ AMP, Computational Physics, Computer science, Physics

November 12, 2014 by hgpu

Code Optimization on Kepler GPUs and Xeon Phi

Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung (SWME Collaboration)

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Tags: CUDA, High Energy Physics - Lattice, Intel Xeon Phi, Maxwell's equations, MPI, nVidia, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, OpenMP, Performance, Physics, QCD, Tesla K40

November 12, 2014 by hgpu

An Execution Model for OpenCL 2.0

Benedict R. Gaster

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Tags: Computer science, OpenCL, Overview

November 9, 2014 by hgpu

Real-time 3D Reconstruction for FPGAs: A Case Study for Evaluating the Performance, Area, and Programmability Trade-offs of the Altera OpenCL SDK

Quentin Gautier, Alexandria Shearer, Janarbek Matai, Dustin Richmond, Pingfan Meng, Ryan Kastner

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Tags: Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 760, OpenCL

November 9, 2014 by hgpu

Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling

Sagar Shrishailappa Masuti, Sylvain Barbot, Nachiket Kapre

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Tags: Bayesian, CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, Tesla K20

November 9, 2014 by hgpu

Parallel FIM Approach on GPU using OpenCL

Sarika S. Kadam, Sudarshan S.Deshmukh

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Tags: ATI, Computer science, Data mining, Databases, OpenCL

November 9, 2014 by hgpu

Dogwild! – Distributed Hogwild for CPU & GPU

Cyprien Noel, Simon Osindero

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Tags: Computer science, Computer vision, CUDA, Distributed computing, Machine learning, Neural networks, nVidia

November 9, 2014 by hgpu

Graphics Processing Unit-Based Computer-Aided Design Algorithms for Electronic Design Automation

Yiding Han

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce GTS 250, Tesla C1060, Thesis

November 5, 2014 by hgpu

GPU Acceleration of k-Nearest Neighbor Search in Face Classifier based on Eigenfaces

Jennifer Dawn Rouan

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Tags: Computer science, Computer vision, CUDA, Nearest neighbour, nVidia, Security, Tesla K20, Thesis

November 5, 2014 by hgpu

Parallelization techniques of the x264 video encoder

Daniel Ruiz Munoz

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Tags: Compression, CUDA, H.264/AVC, Image processing, nVidia, Thesis

November 5, 2014 by hgpu

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Matteo Lulli, Massimo Bernaschi, Giorgio Parisi

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, MPI, nVidia, nVidia GeForce GTX Titan, Pseudo-random number generators

November 5, 2014 by hgpu

A GPU-Based Wide-Band Radio Spectrometer

Jayanth Chennamangalam, Simon Scott, Glenn Jones, Hong Chen, John Ford, Amanda Kepley, D. R. Lorimer, Jun Nie, Richard Prestage, D. Anish Roshi, Mark Wagner, Dan Werthimer

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX Titan, Package, Signal processing

November 5, 2014 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

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

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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