Yang Zhang's starred repositories
Graphchallenge21
graph challenge 2021
GPGPU-Ramulator-Simulator
Replace original DRAM model in GPGPU-sim with Ramulator DRAM model
GPGPUSim-Ramulator
The source code for GPGPUSim+Ramulator simulator. In this version, GPGPUSim uses Ramulator to simulate the DRAM. This simulator is used to produce some of the results in our SIGMETRICS 2019 paper: Ghose et al., "Demystifying Complex Workload-DRAM Interactions: An Experimental Study" at https://arxiv.org/pdf/1902.07609.pdf.
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.