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sidrai's Projects

libxsmm icon libxsmm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

ligra icon ligra

Ligra: A Lightweight Graph Processing Framework for Shared Memory

likwid icon likwid

Performance monitoring and benchmarking suite

maxas icon maxas

Assembler for NVIDIA Maxwell architecture

mica icon mica

MICA: A Fast In-memory Key-Value Store (see isca2015 branch for the ISCA2015 version)

monetdb icon monetdb

This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regresession test results can be found on the MonetDB Testweb http://monetdb.cwi.nl/testweb/web/status.php .For contributions please see: https://www.monetdb.org/Developers

mpitutorial icon mpitutorial

MPI programming lessons in C and executable code examples

mutil icon mutil

Multi-threaded cp and md5sum based on GNU coreutils

pointer-chasing icon pointer-chasing

Utilities to measure read access times of caches, memory, and hardware prefetches for simple and fused operations

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

riken_simulator icon riken_simulator

This is the git repository for RIKEN simulator designed to simulate the binary code for Fujitsu A64FX.

seastar icon seastar

High performance server-side application framework

silo icon silo

Multicore in-memory storage engine

squeezenet icon squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

tarantool icon tarantool

Get your data in RAM. Get compute close to data. Enjoy the performance.

tpcc icon tpcc

Tarantool TPCC benchmark

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