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Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

Yi Peng, Li Chen, Jun-Hai Yong

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 555 M, OpenCL, Visualization

January 12, 2014 by hgpu

A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units

Andrea Manconi, Alessandro Orro, Emanuele Manca, Giuliano Armano, Luciano Milanesi

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package, Smith-Waterman algorithm, Tesla K20

January 12, 2014 by hgpu

Warp-Level Divergence in GPUs: Characterization, Impact, and Mitigation

Ping Xiang, Yi Yang, Huiyang Zhou

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance

January 12, 2014 by hgpu

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Fortran, Heterogeneous systems, MPI, nVidia, Tesla K20

January 12, 2014 by hgpu

Implementations of the Hough Transform on the Embedded Multicore Processors

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 680

January 11, 2014 by hgpu

Mining Rare Features in Fingerprints Using Core Points and Triplet-based Features

Indira Munagani

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Tags: Algorithms, Biometrics, Computer science, CUDA, nVidia, nVidia GeForce GT 200, Thesis

January 11, 2014 by hgpu

An octree-based proxy for collision detection in large-scale particle systems

An WenShan, Wang Bin, Paul Jean-Claude, Sun JiaGuang

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Particle simulation

January 10, 2014 by hgpu

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro 5000, OpenGL, Rendering, Thrust

January 10, 2014 by hgpu

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Xiang Ying, Xiaoning Wang, Ying He

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, Tesla K20, Tessellation

January 10, 2014 by hgpu

GPU Accelerated 3-D Modeling and Simulation of a Blended Kinetic Impact and Nuclear Subsurface Explosion

Brian Kaplinger, Pavithra Premaratne, Christian Setzer, Bong Wie

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Tags: CUDA, Earth and Space Sciences, nVidia

January 10, 2014 by hgpu

Parallel Algorithm for BSDEs Based High Dimensional American Option Pricing on the GPU

Ying Peng, Hui Liu, Shuzhen Yang, Bin Gong

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Tags: Algorithms, CUDA, Differential equations, Finance, nVidia, Tesla C2050

January 10, 2014 by hgpu

Nengo: a Python tool for building large-scale functional brain models

Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Xuan Choo, Aaron Russell Voelker, Chris Eliasmith

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Tags: ATI, ATI Radeon HD 7970, Biology, Neuroscience, nVidia, nVidia GeForce GTX 280, OpenCL, Package, PyOpenCL, Python

January 9, 2014 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

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