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CUDA-based AES parallelization with fine-tuned GPU memory utilization

Chonglei Mei, Hai Jiang, Jeff Jenness

Tags: Computer science, CUDA, nVidia, Security

March 7, 2011 by hgpu

Designing scalable many-core parallel algorithms for min graphs using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia

March 7, 2011 by hgpu

Object-oriented stream programming using aspects

Mingliang Wang, M. Parashar

Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques

March 7, 2011 by hgpu

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Mingliang Wang

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques, Thesis

March 7, 2011 by hgpu

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Zhengyu He, Bo Hong

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 285

March 6, 2011 by hgpu

Performance study of mapping irregular computations on GPUs

Steven Solomon, Parimala Thulasiraman

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Presentation

March 6, 2011 by hgpu

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Xiaoyu Xu, Guoqiang Liu, Hui Qu, Wei Xu, Yang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Sparse matrix

March 6, 2011 by hgpu

Tuned and asynchronous stencil kernels for CPU/GPU systems (thesis)

Sundaresan Venkatasubramanian

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 570, Performance, Tesla C1060, Tesla C870, Thesis

March 6, 2011 by hgpu

Speculative Execution on Multi-GPU Systems

Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 9800 GX2, Optimization, Performance, Tesla S870

March 6, 2011 by hgpu

Automatic Generation of Multicore Chemical Kernels

John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu

Tags: Cell processor, Chemistry, Code generation, Computer science, CUDA, nVidia, OpenMP

March 6, 2011 by hgpu

Task management for irregular-parallel workloads on the GPU

Stanley Tzeng, Anjul Patney, John D. Owens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Performance, Presentation, Task scheduling

March 6, 2011 by hgpu

Dynamic load balancing on single- and multi-GPU systems

Long Chen, Oreste Villa, Sriram Krishnamoorthy, Guang R. Gao

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Task scheduling, Tesla C1060

March 6, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

CUDA-based AES parallelization with fine-tuned GPU memory utilization

Designing scalable many-core parallel algorithms for min graphs using CUDA

Object-oriented stream programming using aspects

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Performance study of mapping irregular computations on GPUs

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Tuned and asynchronous stencil kernels for CPU/GPU systems (thesis)

Speculative Execution on Multi-GPU Systems

Automatic Generation of Multicore Chemical Kernels

Task management for irregular-parallel workloads on the GPU

Dynamic load balancing on single- and multi-GPU systems

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

Most viewed papers (last 30 days)