tejashah94 Goto Github PK

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.

gem5-cache-partitioning

gem5-cache-partitioning-1

Gem5 L2 Cache Partitioning

gem5-gpu

gem5-simulator

This is a simulator, we used for our project Comparision Cache Replacement Policies using Gem5 Simulator.

gem5_docker

Run gem5 in Docker, avoiding issues with gem5 in newer OS and gcc versions

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.

hashingdeeplearning

Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

hatchet

Graph-indexed Pandas DataFrames for analyzing hierarchical performance data

hcc-example-application

HCC Sample Applications

hip-examples

Examples for HIP

hw

RTL, Cmodel, and testbench for NVDLA

ispass2009-benchmarks

Benchmarks used in the gpgpu-sim ispass 2009 paper

lstm-rnn

long short-term memory for recursive neural network model

lstm_sentiment-analysis

lstms

mesa

A modified Mesa 3D graphics library for gem5-graphics

microbench

Extremely Simple Microbenchmarks

mixbench

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP)

n3lp

C++ implementation for Neural Network-based NLP, such as LSTM machine translation!

optimal_cache_design_analysis

This project is aimed at optimizing various cache design choices by making sensible tradeoff between cost and performance of the CPU. To show the variations, the L1 caches (data and instruction) are compared to L2 cache through the data of 5 benchmarks.

ppg

Low-power PPG waveform estimation using compressive sampling and hardware-oriented optimization

prim-benchmarks

PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (preliminary version at https://arxiv.org/abs/2105.03814).

project1_spec

SPEC benchmark programs for CE6304 Project 1

pycachesim

Python Cache Hierarchy Simulator

pypop

Python Tools for the POP Metrics

python-decision-tree-using-id3

Problem : Write a program to demonstrate the working of the decision tree based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gpgpu-sim

Modified version of PyTorch able to work with changes to GPGPU-Sim

ram_bench

A benchmark for random memory accesses