rachmadvwp

rachmad's repositories

VAMPIRE

An open-source DRAM power model based on extensive experimental characterization of real DRAM modules. Described in the SIGMETRICS 2018 paper by Ghose et al. (https://people.inf.ethz.ch/omutlu/pub/VAMPIRE-DRAM-power-characterization-and-modeling_sigmetrics18_pomacs18.pdf)

Language:C++MIT100

MAESTRO-1

An analytical cost model of DNN Dataflows (http://synergy.ece.gatech.edu/tools/maestro/)

Language:C++MIT000

nengo-loihi

Run Nengo models on Intel's Loihi chip

Language:PythonNOASSERTION000

accelerator-wall

Repository for the tools and non-commercial data used for the "Accelerator wall" paper.

Language:Python000

HotSniper

An Enhanced Research Version of Sniper MultiCore Simulator

Language:C++NOASSERTION000

nest-simulator

The NEST simulator

Language:C++GPL-2.0000

N2D2

N2D2 is a open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

Language:C++NOASSERTION000

convnet-burden

Memory consumption and FLOP count estimates for convnets

MIT000

evoapprox8b

First version of approximate library

MIT000

Spiking-Neural-Network

Pure python implementation of SNN

Language:PythonApache-2.0000

Spiking-CNN

Spiking Convolutional Neural Networks

Language:Python000

power_benchmarks

Profiling power consumption of a neuromorphic keyword spotter.

Language:TeX000

firesim

FireSim: Easy-to-use, Scalable, FPGA-accelerated Cycle-accurate Hardware Simulation in the Cloud (e.g. RISC-V Rocket Chip, BOOM, and more)

Language:PythonNOASSERTION000

chisel3

Chisel 3

Language:Scala000

ANN-to-SNN-for-Inception-ResNet

This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.

000

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

BSD-2-Clause000