Pinned Repositories
A-Growing-List-of-Papers-on-Stochastic-Computing
AIChip_Paper_List
BACS
Benchmarks for Approximate Circuit Synthesis
Binary-Neural-Networks
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
DAMOV
DAMOV is a benchmark suite and a methodical framework targeting the study of data movement bottlenecks in modern applications. It is intended to study new architectures, such as near-data processing. Described by Oliveira et al. (preliminary version at https://arxiv.org/pdf/2105.03725.pdf)
DNN_NeuroSim_V2.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
Eva-CiM
Code of "Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures", TCAD 2020
gittutorial
PIMSim
PIMSim is a Process-In-Memory Simulator with the compatibility of GEM5 full-system simulation.
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
Amir-HK's Repositories
Amir-HK/NVmain
NVMain - An Architectural Level Main Memory Simulator for Emerging Non-Volatile Memories
Amir-HK/scsynth
Synthesis tool for stochastic computing
Amir-HK/SMApproxLib
Amir-HK/TPU
TPU, The Test Processing Unit. Or Terrible Processing Unit. A simple 16-bit CPU in VHDL for education as to the dataflow within a CPU. Designed to run on miniSpartan6+.
Amir-HK/XNOR-Net
ImageNet classification using binary Convolutional Neural Networks
Amir-HK/XPEsim
A simulator for RRAM-based neural processor engine.