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Xiangjun Peng's Projects

amdvlk icon amdvlk

AMD Open Source Driver For Vulkan

chestnut-recommender icon chestnut-recommender

A memory-based Collaborative Filtering Implementation, rooted with an Information Theory-based Algorithm for a more comprehensive understanding of serendipity.

cms icon cms

Contest Management System

compute-engine icon compute-engine

Highly optimized inference engine for Binarized Neural Networks

coursework icon coursework

This repository contains all done coursework, with thoughts, extensions and discussions.

crow icon crow

Source code for the architectural and circuit-level simulators used for modeling the CROW (Copy-ROW DRAM) mechanism proposed in our ISCA 2019 paper "CROW: A Low-Cost Substrate for Improving DRAM Performance, Energy Efficiency, and Reliability". Paper is at: https://people.inf.ethz.ch/omutlu/pub/CROW-DRAM-substrate-for-performance-energy-reliability_isca19.pdf.

cup-img icon cup-img

An Android-based System to Select Most Similar Cup Images

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

fastcrawler icon fastcrawler

A custmoized web crawler to collect directors' information from IMDb.

fos icon fos

FOS - FPGA Operating System

gem5 icon gem5

This is an read-only mirror of the gem5 simulator. The upstream repository is stored in https://gem5.googlesource.com, code reviews should be submitted to https://gem5-review.googlesource.com/. The mirrors are synchronized every 15 minutes.

geospark icon geospark

A Cluster Computing System for Processing Large-Scale Spatial Data

levelwt icon levelwt

LevelWT algorithms for Parallel Wavelet Tree Construction

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

ltspice-cli icon ltspice-cli

A command line tool for automating LTspice simulations

mqsim icon mqsim

MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)

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