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Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Alexander Victor Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Space and the Synchronic A-Ram

Alex V Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Interlanguages and synchronic models of computation

Alexander Victor Berka

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Tags: Computer science, FPGA, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Relational query coprocessing on graphics processors

Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX, Package, Performance

January 19, 2011 by hgpu

Message passing for GPGPU clusters: CudaMPI

Orion S. Lawlor

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, OpenMPI, Package

January 18, 2011 by hgpu

Secure 3D graphics for virtual machines

Christopher Smowton

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Tags: Computer science, DirectX, OpenGL, Virtualization

January 18, 2011 by hgpu

A novel approach for implementing Steganography with computing power obtained by combining Cuda and Matlab

Samir B. Patel, Shrikant N. Pradhan, Saumitra U. Ambegaokar

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Tags: Computer science, CUDA, nVidia, Security

January 18, 2011 by hgpu

A Multi-Stage CUDA Kernel for Floyd-Warshall

Ben Lund, Justin W Smith

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

January 18, 2011 by hgpu

Fast GPGPU Data Rearrangement Kernels using CUDA

Michael Bader, Hans-Joachim Bungartz, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

January 18, 2011 by hgpu

Parallelization of Weighted Sequence Comparison by using EBWT

Binay Kumar Pandey, Shashank Srikant, Dr. Rajdeep Niyogi, Dr. Ankush Mittal

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia Quadro FX 3700

January 18, 2011 by hgpu

Automatic bi-layer video segmentation based on sensor fusion

Pierre Boulanger, Qiong Wu, Walter F. Bischof

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Tags: Algorithms, Computer science, Computer vision, Pattern recognition

January 17, 2011 by hgpu

GPU-based Collision Detection for Deformable Parameterized Surfaces

Alexander Gress, Michael Guthe, Reinhard Klein

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Tags: 3D Graphics and Realism, Collision detection, Computer science, nVidia, nVidia GeForce 7800 GTX, Shaders

January 17, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Space and the Synchronic A-Ram

Interlanguages and synchronic models of computation

Relational query coprocessing on graphics processors

Message passing for GPGPU clusters: CudaMPI

Secure 3D graphics for virtual machines

A novel approach for implementing Steganography with computing power obtained by combining Cuda and Matlab

A Multi-Stage CUDA Kernel for Floyd-Warshall

Fast GPGPU Data Rearrangement Kernels using CUDA

Parallelization of Weighted Sequence Comparison by using EBWT

Automatic bi-layer video segmentation based on sensor fusion

GPU-based Collision Detection for Deformable Parameterized Surfaces

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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