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Stress Tensor Field Visualization for Implant Planning in Orthopedics

Christian Dick, Joachim Georgii, Rainer Burgkart, Rudiger Westermann

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Tags: Medicine, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

June 8, 2011 by hgpu

Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders

Ngai-Man Cheung, Oscar C. Au, Man-Cheung Kung, Xiaopeng Fan

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Tags: Cg, Compression, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL, Video decoding

June 8, 2011 by hgpu

Tuning Manifold Harmonics Filters

Thomas Lewiner, Thales Vieira, Alex Bordignon, Allyson Cabral, Clarissa Marques, Joao Paixao, Lis Custodio, Marcos Lage, Maria Andrade, Renata Nascimento, Scarlett de Botton, Sinesio Pesco, Helio Lopes, Vinicius Mello, Adelailson Peixoto, Dimas Martinez

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Tags: Computer science, GLSL, Image generation, nVidia, nVidia GeForce GT 130, OpenGL, Real-time graphics, Rendering, Signal processing, Visualization

June 7, 2011 by hgpu

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

A new parallel video understanding and retrieval system

Ke-yan Liu, Tong Zhang, Lei Wang

Tags: Image processing, Image recognition, MapReduce, nVidia, nVidia Quadro FX 4600

June 7, 2011 by hgpu

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

Satish Chikkagoudar, Kai Wang, Mingyao Li

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Tags: Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 1800, Package, Tesla C1060

June 7, 2011 by hgpu

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 2011 by hgpu

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

M. Schonherr, K. Kucher, M. Geier, M. Stiebler, S. Freudiger, M. Krafczyk

Tags: CUDA, Lattice Boltzmann model, Mathematics, nVidia

June 7, 2011 by hgpu

Special Relativistic Visualization by Local Ray Tracing

Thomas Muller, Sebastian Grottel, Daniel Weiskopf

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Raytracing, Rendering

June 6, 2011 by hgpu

Massively Parallel Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao, Mea Wang

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260

June 6, 2011 by hgpu

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Evdokimos I. Konstantinidis, Christos A. Frantzidis, Lazaros Tzimkas, Costas Pappas, Panagiotis D. Bamidis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, Signal processing

June 6, 2011 by hgpu

Exploiting Computing Power on Graphics Processing Unit

Ziyi Liu, Wenjing Ma

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Performance

June 5, 2011 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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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