Subject_No_i (SubjectNoi)

SubjectNoi

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Company:ReArch Group, Dept. of CSE, SJTU

Location:Shanghai

Home Page:http://subjectnoi.github.io/about/

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Subject_No_i's starred repositories

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

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models

A collection of pre-trained, state-of-the-art models in the ONNX format

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OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

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Halide

a language for fast, portable data-parallel computation

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ROCm

AMD ROCm™ Software - GitHub Home

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meltdown

This repository contains several applications, demonstrating the Meltdown bug.

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llvm-tutor

A collection of out-of-tree LLVM passes for teaching and learning

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TensorComprehensions

A domain specific language to express machine learning workloads.

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hw

RTL, Cmodel, and testbench for NVDLA

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FALdetector

Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop

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galaxy-integrations-python-api

NOTE: Please report here only issues related to the python API. Issues and general feedback regarding the Galaxy Client 2.0 shall be sent via Galaxy Client menu

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nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

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TASO

The Tensor Algebra SuperOptimizer for Deep Learning

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riscv-sodor

educational microarchitectures for risc-v isa

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PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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onnc

Open Neural Network Compiler

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sw

NVDLA SW

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accel-sim-framework

This is the top-level repository for the Accel-Sim framework.

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spatial

Spatial: "Specify Parameterized Accelerators Through Inordinately Abstract Language"

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doc

Documentation for NVDLA.

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myGEMM

Code appendix to an OpenCL matrix-multiplication tutorial

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Fractional-GPUs

Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions

vp

Virtual Platform for NVDLA

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pygoturn

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

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TPU-Tensor-Processing-Unit

IC implementation of TPU

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pytorch-gpgpu-sim

Modified version of PyTorch able to work with changes to GPGPU-Sim

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