gkrish19

accelerator-wall

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

deep-learning-models

Keras code and weights files for popular deep learning models.

ml-inference-benchmarks

GPU and CPU measurements for ML inference workloads for power, latency and throughput

MLP_NeuroSim_V2.0

models

Models and examples built with TensorFlow

Neural-Networks-on-Silicon

This is a collection of works on neural networks and neural accelerators.

puma-simulator

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

Python

All Algorithms implemented in Python

SIAM

Scalable In-Memory Acceleration With Mesh: Device, Circuits, Architecture, and Algorithm

SIAM-Chiplet-based-Scalable-In-Memory-Acceleration-with-Mesh-for-Deep-Neural-Networks

A comprehensive tool that allows for system-level performance estimation of chiplet-based In-Memory computing (IMC) architectures.

gkrish19/SIAM-Chiplet-based-Scalable-In-Memory-Acceleration-with-Mesh-for-Deep-Neural-Networks

A comprehensive tool that allows for system-level performance estimation of chiplet-based In-Memory computing (IMC) architectures.

gkrish19/SIAM

Scalable In-Memory Acceleration With Mesh: Device, Circuits, Architecture, and Algorithm

gkrish19/Python

All Algorithms implemented in Python

gkrish19/accelerator-wall

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

gkrish19/deep-learning-models

Keras code and weights files for popular deep learning models.

gkrish19/ml-inference-benchmarks

GPU and CPU measurements for ML inference workloads for power, latency and throughput

gkrish19/MLP_NeuroSim_V2.0

gkrish19/models

Models and examples built with TensorFlow

gkrish19/Neural-Networks-on-Silicon

This is a collection of works on neural networks and neural accelerators.

gkrish19/puma-simulator

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

gkrish19/seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

gkrish19/siliconcompiler

SiliconCompiler is an open source build system that automates translation from source code to silicon.

gkrish19/tinyTPU

Implementation of a Tensor Processing Unit for embedded systems and the IoT.