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Books and Theses
- 2012
[b1]Geoffrey Tochukwu Ndu:
Boosting single thread performance in mobile processors using reconfigurable acceleration. University of Manchester, UK, 2012
Conference and Workshop Papers
- 2019
- [c6]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams
, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS 2019: 715-731 - 2017
- [c5]Reto Achermann, Chris I. Dalton, Paolo Faraboschi, Moritz Hoffmann, Dejan S. Milojicic, Geoffrey Ndu, Alex Richardson, Timothy Roscoe, Adrian L. Shaw, Robert N. M. Watson:
Separating Translation from Protection in Address Spaces with Dynamic Remapping. HotOS 2017: 118-124 - [c4]Pedro Bruel, Sai Rahul Chalamalasetti, Chris I. Dalton, Izzat El Hajj, Alfredo Goldman, Catherine Graves, Wen-Mei W. Hwu, Phil Laplante, Dejan S. Milojicic, Geoffrey Ndu, John Paul Strachan:
Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. ICRC 2017: 1-8 - 2015
- [c3]Geoffrey Ndu, Javier Navaridas, Mikel Luján:
CHO: towards a benchmark suite for OpenCL FPGA accelerators. IWOCL 2015: 10:1-10:10 - 2014
- [c2]Oriol Arcas-Abella, Geoffrey Ndu, Nehir Sönmez, Mohsen Ghasempour, Adrià Armejach, Javier Navaridas, Wei Song, John Mawer, Adrián Cristal, Mikel Luján:
An empirical evaluation of High-Level Synthesis languages and tools for database acceleration. FPL 2014: 1-8 - 2012
- [c1]Geoffrey Ndu, Jim D. Garside:
Boosting Single Thread Performance in Mobile Processors via Reconfigurable Acceleration. ARC 2012: 114-125
Informal and Other Publications
- 2019
- [i1]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR abs/1901.10351 (2019)
Coauthor Index
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