260 citations · 456 across the 15 of their papers we have counts for
4 papers · 1 filter
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference
Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat +4
Convolutional Neural Networks (CNNs) are used in a wide range of applications, with full-precision CNNs achieving high accuracy at the expense of portability. Recent progress in qu…
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…
A 9.52 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture
Carlo Condo, Pascal Giard, François Leduc-Primeau +2
Powerful Forward Error Correction (FEC) schemes are used in optical communications to achieve bit-error rates below . These FECs follow one of two approaches: concatenati…
Relaxed Half-Stochastic Belief Propagation
François Leduc-Primeau, Saied Hemati, Shie Mannor +1
Low-density parity-check codes are attractive for high throughput applications because of their low decoding complexity per bit, but also because all the codeword bits can be decod…