Tom J Kazmierski

University of Southampton

H-index: 19

Europe-United Kingdom

Tom J Kazmierski, With an exceptional h-index of 19 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Southampton,

His recent articles reflect a diverse array of research interests and contributions to the field:

A method for swift selection of appropriate approximate multipliers for CNN hardware accelerators

Tamper Resistant Design of Convolutional Neural Network Hardware Accelerator

Towards hardware trojan resilient design of convolutional neural networks

A minimal RISC-V vector processor for embedded systems

High-speed analog simulation of CMOS vision chips using explicit integration techniques on many-core processors

Languages, Design Methods, and Tools for Electronic System Design

Modified compressed sparse row format for accelerated fpga-based sparse matrix multiplication

Stability and efficiency of explicit integration in interconnect analysis on GPUs

Title	Author(s)	Publication Date
A method for swift selection of appropriate approximate multipliers for CNN hardware accelerators	Peiyao Sun Haosen Yu Basel Halak Tomasz Kazmierski	2024/5/20
Tamper Resistant Design of Convolutional Neural Network Hardware Accelerator	Haosen Yu Peiyao Sun Basel Halak Karthik Shanthakumar Tomasz Kazmierski	2023/12/13
Towards hardware trojan resilient design of convolutional neural networks	Peiyao Sun Basel Halak Tomasz Kazmierski	2022/9/5
A minimal RISC-V vector processor for embedded systems	Matthew Johns Tom J Kazmierski	2020/9/15
High-speed analog simulation of CMOS vision chips using explicit integration techniques on many-core processors	Gines Domenech-Asensi Tom J Kazmierski	2020/3/9
Languages, Design Methods, and Tools for Electronic System Design	Franco Fummi Robert Wille	2018
Modified compressed sparse row format for accelerated fpga-based sparse matrix multiplication	Michail Pligouroudis Rafael Angel Gutierrez Nuno Tom Kazmierski	2020/10/12
Stability and efficiency of explicit integration in interconnect analysis on GPUs	Ginés Doménech-Asensi Tom J Kazmierski	2020/10/12