Gokul Krishnan's repositories
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.
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
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.
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
siliconcompiler
SiliconCompiler is an open source build system that automates translation from source code to silicon.