Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration
We propose a reconfigurable accelerator for parallel workloads called Transmuter with a software stack called TransPy.
Sparse-TPU: Adapting Systolic Arrays for Sparse Matrices
We develop a hardware-software co-designed solution to accelerate sparse matrix-vector multiplication on a TPU-like systolic array architecture.
A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm
We prototype a Sparse Matrix-Matrix Multiplication accelerator with 48 heterogeneous cores and a reconfigurable memory hierarchy in 40 nm CMOS that offers significant energy- and bandwidth-efficiency improvements over state-of-the-art CPUs and GPUs.
OuterSPACE: An Outer Product based Sparse Matrix Multiplication Accelerator
We architect a novel hardware-software codesigned accelerator for high-performance, energy efficient sparse matrix multiplication targeting graph analytics and scientific computation.