3 citations · 4 across the 6 of their papers we have counts for
6 papers
Real-Time Spacecraft Pose Estimation Using Mixed-Precision Quantized Neural Network on COTS Reconfigurable MPSoC
Julien Posso, Guy Bois, Yvon Savaria
This article presents a pioneering approach to real-time spacecraft pose estimation, utilizing a mixed-precision quantized neural network implemented on the FPGA components of a co…
QGen: On the Ability to Generalize in Quantization Aware Training
MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat +6
Quantization lowers memory usage, computational requirements, and latency by utilizing fewer bits to represent model weights and activations. In this work, we investigate the gener…
Statistical Hardware Design With Multi-model Active Learning
Alireza Ghaffari, Masoud Asgharian, Yvon Savaria
With the rising complexity of numerous novel applications that serve our modern society comes the strong need to design efficient computing platforms. Designing efficient hardware…
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference
MohammadHossein AskariHemmat, Theo Dupuis, Yoan Fournier +8
In this paper, we present Quark, an integer RISC-V vector processor specifically tailored for sub-byte DNN inference. Quark is implemented in GlobalFoundries' 22FDX FD-SOI technolo…
QReg: On Regularization Effects of Quantization
MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alex Hoffman +6
In this paper we study the effects of quantization in DNN training. We hypothesize that weight quantization is a form of regularization and the amount of regularization is correlat…
On Delay Faults Affecting I/O Blocks of an SRAM-Based FPGA Due to Ionizing Radiations
Fatima Zahra Tazi, Claude Thibeault, Yvon Savaria +2
Experimental means to characterize delay faults induced by bit flips and SEUs in I/O blocks of SRAM-based FPGAs are proposed. A delay fault up to 6.2ns sensitized by an events chai…