We strongly believe in enabling researchers to perform rapid design-space exploration and prototyping of novel microarchitectures. To this end, we have developed and released the following open-source design tools.

Please email Tushar Krishna if you need any information about any of these tools.

Networks-on-Chip (NoC) for Many-core SoCs

Link	Description	Language	Papers
garnet	Network-on-Chip and Network-on-Package Model inside the gem5 full system simulator	C++	ISPASS 2009 DAC 2020
OpenSMART	Parameterizeable NoC RTL generator	Bluespec (generates Verilog)	ISPASS 2017

Deep Learning Accelerator Modeling Frameworks

Link	Description	Language	Papers
Union	Optimizer in MLIR for Accelerator Mapping/HW DSE	C++	PACT 2021
GAMMA DiGamma	Specialized Genetic Algorithms for Mapping and HW resource optimization for DNN Accelerators	C++	ICCAD 2020 DATE 2022
MAESTRO	Analytical Model for Deep Learning Dataflows	C++	MICRO 2019
SCALE-sim	Systolic Array Simulator	C++	ISPASS 2020
STONNE	Cycle-level simulator for flexible Dense and Sparse DNN Accelerators	C++	IISWC 2021
ASTRA-Sim	Deep Learning Distributed Training Simulator	C++	ISPASS 2020 ISPASS 2022

Deep Learning Accelerator RTL

Link	Description	Language	Papers
SIGMA	Sparse and Irregular GEMM Accelerator	Verilog	HPCA 2020
MAERI	DNN Accelerator with Reconfigurable Interconnects	Bluespec (generates Verilog)	ASPLOS 2018
Microswitch-NoC	NoC specialized for DNN Accelerators	Bluespec (generates Verilog)	NOCS 2017