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followers: 10.0 following: 7.0 repos: 23.0 gists: 10.0

Name: Xinfeng

Type: User

Company: UC, Santa Barbara

Bio: Ph.D. student in SEAL Lab, Dept. of Electrical and Computer Engineering at UC, Santa Barbara. Research interests include the computer system and architecture.

Location: https://seal.ece.ucsb.edu/location

Xinfeng's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cudnn-tuning icon cudnn-tuning

Codes for auto-tuning cudnn conv forward implementations

fathom icon fathom

Reference workloads for modern deep learning methods.

fbgemm icon fbgemm

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

gpgpu-sim_distribution icon 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.

halide icon halide

a language for fast, portable data-parallel computation

leveldb icon leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

models icon models

Models and examples built with TensorFlow

mpu-asplos-2021 icon mpu-asplos-2021

Source code of MPU simulator and compiler for ASPLOS 2021 submission.

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

niftyrec icon niftyrec

NiftyRec is a software toolbox for Tomographic image reconstruction. NiftyRec is written in C and computationally intensive functions have a GPU accelerated version based on NVidia CUDA. NiftyRec includes a Matlab Toolbox and a Python Package that access the low level routines, hiding the complexity of the GPU accelerated algorithms.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

torchrec icon torchrec

Pytorch domain library for recommendation systems

xformers icon xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

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