Wojciech Romaszkan

According to our database, Wojciech Romaszkan authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

REX-SC: Range-Extended Stochastic Computing Accumulation for Neural Network Acceleration.

Tianmu Li, Wojciech Romaszkan, Sudhakar Pamarti, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines.

Ravit Sharma, Wojciech Romaszkan, Feiqian Zhu, Puneet Gupta, Ankur Mehta

CoRR, 2023

2022

SASCHA - Sparsity-Aware Stochastic Computing Hardware Architecture for Neural Network Acceleration.

Wojciech Romaszkan, Tianmu Li, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021

SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration.

Shurui Li, Wojciech Romaszkan, Alexander Graening, Puneet Gupta

CoRR, 2021

GEO: Generation and Execution Optimized Stochastic Computing Accelerator for Neural Networks.

Tianmu Li, Wojciech Romaszkan, Sudhakar Pamarti, Puneet Gupta

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

3PXNet: Pruned-Permuted-Packed XNOR Networks for Edge Machine Learning.

Wojciech Romaszkan, Tianmu Li, Puneet Gupta

ACM Trans. Embed. Comput. Syst., 2020

ACOUSTIC: Accelerating Convolutional Neural Networks through Or-Unipolar Skipped Stochastic Computing.

Wojciech Romaszkan, Tianmu Li, Tristan Melton, Sudhakar Pamarti, Puneet Gupta

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020