Portrait of Warren Gross

Warren Gross

Associate Academic Member
Professor, McGill University, Department of Electrical and Computer Engineering
Research Topics
Computer Systems
Deep Learning
Information Theory
Natural Language Processing
Optimization

Biography

Warren Gross is a James McGill Professor and chair of the Department of Electrical and Computer Engineering at McGill University.

His research interests lie in bridging algorithms and implementation in machine learning and digital communications. His work focuses on efficient deep learning models, hardware for machine learning, stochastic computing, hardware-aware design-space exploration for neural networks, machine learning for digital communications, and efficient decoding algorithms and hardware for error-correcting codes.

Current Students

Publications

Fully Parallel Stochastic LDPC Decoders
Saeed Sharifi Tehrani
Shie Mannor
Stochastic decoding is a new approach to iterative decoding on graphs. This paper presents a hardware architecture for fully parallel stocha… (see more)stic low-density parity-check (LDPC) decoders. To obtain the characteristics of the proposed architecture, we apply this architecture to decode an irregular state-of-the-art (1056,528) LDPC code on a Xilinx Virtex-4 LX200 field-programmable gate-array (FPGA) device. The implemented decoder achieves a clock frequency of 222 MHz and a throughput of about 1.66 Gb/s at
Stochastic Decoding of Linear Block Codes With High-Density Parity-Check Matrices
S. Tehrani
Christophe Jego
Bo Zhu
This correspondence extends the application of the recently proposed stochastic decoding approach to decode linear block codes with high-den… (see more)sity parity-check matrices and discusses its hardware complexity. Results demonstrate decoding performance close to floating-point iterative soft-input soft-output (SISO) decoding while offering nodes with considerably lower complexity compared to fixed-point SISO decoding.
Stochastic Decoding of Linear Block Codes With High-Density Parity-Check Matrices
Saeed Sharifi Tehrani
Christophe Jego
Bo Zhu
This correspondence extends the application of the recently proposed stochastic decoding approach to decode linear block codes with high-den… (see more)sity parity-check matrices and discusses its hardware complexity. Results demonstrate decoding performance close to floating-point iterative soft-input soft-output (SISO) decoding while offering nodes with considerably lower complexity compared to fixed-point SISO decoding.