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Boids that see: Using self-occlusion for simulating large groups on GPUs

Alessandro R. Da Silva, Wallace S. Lages, Luiz Chaimowicz

Tags: Artificial intelligence, Computer science, CUDA, Games, nVidia

November 27, 2010 by hgpu

Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware

Christof Seiler, Philippe Büchler, Lutz-Peter Nolte, Rasmus Paulsen, Mauricio Reyes

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Tags: ATI, ATI Radeon X1300, Computer science, Finite element method, Medicine, OpenGL

November 27, 2010 by hgpu

An emotionally biased ant colony algorithm for pathfinding in games

Jose A. Mocholi, Javier Jaen, Alejandro Catala, Elena Navarro

Tags: Algorithms, Computer science, Games, Path problems

November 27, 2010 by hgpu

Particle-Based Multiple Irregular Volume Rendering on CUDA

Ding Zhongming, Takuma Kawamura, Naohisa Sakamoto, Koji Koyamada

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 27, 2010 by hgpu

Fast Conjugate Gradients with Multiple GPUs

Ali Cevahir, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, Conjugate gradient solver, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTS

November 27, 2010 by hgpu

A Note on Auto-tuning GEMM for GPUs

Yinan Li, Jack Dongarra, Stanimire Tomov

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280

November 27, 2010 by hgpu

Parallel View-Dependent Level-of-Detail Control

L. Hu, P. Sander, H. Hoppe

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Tags: 3D Graphics and Realism, Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

November 27, 2010 by hgpu

Jitter analysis of PLL-generated clock propagation using Jitter Mitigation techniques with laser voltage probing

Joy Y. Liao, Tung Ton, Nathan Slattengren, Steven Kasapi, William K. Lo, Howard L. Marks, Yin S. Ng, Ted Lundquist

Tags: Computer science, Hardware, nVidia

November 27, 2010 by hgpu

Optimizing the SUSAN corner detection algorithm for a high speed FPGA implementation

Christopher Claus, Robert Huitl, Joachim Rausch, Walter Stechele

Tags: Computer science, FPGA, nVidia, nVidia GeForce 8800 GTX

November 27, 2010 by hgpu

A survey of BRDF models for computer graphics

Murat Kurt, Dave Edwards

Tags: 3D Graphics and Realism, Computer science, Image processing, Review

November 27, 2010 by hgpu

Simulation of Shallow-Water systems using Graphics Processing Units

Miguel Lastra, Jose M. Mantas, Carlos Urena, Manuel J. Castro, Jose A. Garcia-Rodriguez

Tags: Algorithms, Computer science, nVidia, Programming techniques

November 27, 2010 by hgpu

A massively parallel adaptive fast-multipole method on heterogeneous architectures

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan A. Nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, GPU cluster, MPI, N-body simulation, nVidia, Programming techniques, Tesla S1070

November 27, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Parallel Gaussian process with kernel approximation in CUDA

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