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ansible icon ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com/ansible/

awesome-cs-books icon awesome-cs-books

经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

cs217.github.io icon cs217.github.io

Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University

games icon games

Some games created by python code.

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.

gitpod icon gitpod

Gitpod automates the provisioning of ready-to-code development environments.

interview icon interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

maestro icon maestro

An analytical cost model evaluating DNN mappings (dataflows and tiling).

natsa icon natsa

NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploits modern 3D-stacked High Bandwidth Memory (HBM) to enable efficient and fast matrix profile computation near memory. Described in ICCD 2020 by Fernandez et al. https://people.inf.ethz.ch/omutlu/pub/NATSA_time-series-analysis-near-data_iccd20.pdf

nn_dataflow icon nn_dataflow

Explore the energy-efficient dataflow scheduling for neural networks.

opencgra icon opencgra

OpenCGRA is an open-source framework for modeling, testing, and evaluating CGRAs.

pimsim icon pimsim

PIMSim is a Process-In-Memory Simulator with the compatibility of GEM5 full-system simulation.

prompt icon prompt

Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems

ramulator-pim icon ramulator-pim

A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

tenet icon tenet

An analytical framework that models hardware dataflow of tensor applications on spatial architectures using the relation-centric notation.

verilator icon verilator

Verilator open-source SystemVerilog simulator and lint system

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