zongwuwang Goto Github PK
Name: Wang Zongwu
Type: User
Company: Shanghai Jiao Tong University
Bio: PhD Student of Shanghai Jiao Tong University
Location: Shanghai
Name: Wang Zongwu
Type: User
Company: Shanghai Jiao Tong University
Bio: PhD Student of Shanghai Jiao Tong University
Location: Shanghai
帮助大家进行FPGA的入门,分享FPGA相关的优秀文章,优秀项目
GAP Benchmark Suite
End-to-end SoC simulation: integrating the gem5 system simulator with the Aladdin accelerator simulator.
A parser to convert the output of gem5 to a format for McPat.
gem5-nvmain hybrid simulator supporting simulation of DRAM-NVM hybrid memory system
在最短的时间里搭建 GEM5 FS + QEMU 平台,并构建能被二者共用的操作系统(默认 Ubuntu 16.04.5 server)及内核(默认 4.15.18)。
gem5 configuration for intel's skylake micro-architecture
The gem5-X open source framework (based on the gem5 simulator)
gem5 Tips & Tricks
Adapting gem5 output to McPAT input
pmu event analysis package
good utils methods
Demo for google profiler usage
Converts profiling output to a dot graph.
Generate function call graph with gprof
Artifact of ASPLOS'23 paper entitled: GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.
Graph Pattern Mining
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
Source codes of hardware prefetchers that are implemented in gem5 simulator
A speculative mechanism to accelerate long-latency off-chip load requests by removing on-chip cache access latency from their critical path, as described by MICRO 2022 paper by Bera et al. (https://arxiv.org/pdf/2209.00188.pdf)
HiBench is a big data benchmark suite.
Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.
This is a processing-in-memory simulator which models 3D-stacked memory within gem5. Also includes the workloads used for IMPICA (In-Memory PoInter Chasing Accelerator), an ICCD 2016 paper by Hsieh et al. at https://users.ece.cmu.edu/~omutlu/pub/in-memory-pointer-chasing-accelerator_iccd16.pdf
Jeff Dean's latency numbers plotted over time
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.