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Wang Zongwu's Projects

fpga icon fpga

帮助大家进行FPGA的入门,分享FPGA相关的优秀文章,优秀项目

gem5-aladdin icon gem5-aladdin

End-to-end SoC simulation: integrating the gem5 system simulator with the Aladdin accelerator simulator.

gem5-qemu-dev-paltform icon gem5-qemu-dev-paltform

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-x icon gem5-x

The gem5-X open source framework (based on the gem5 simulator)

grace icon grace

Artifact of ASPLOS'23 paper entitled: GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference

grami icon grami

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.

gspan icon gspan

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

hermes icon hermes

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 icon hibench

HiBench is a big data benchmark suite.

ibex icon ibex

Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

impica icon impica

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

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