11 citations · 11 across the 3 of their papers we have counts for
Showing cs.ARShow all
3 papers · 1 filter
cs.AR2026
Energy Efficient Near-Threshold Voltage Massive MIMO Computing
MD Salman Sakib, Mehdi Safarpour, Pejman Ghasemzadeh +1
Near-Threshold Computing (NTC) offers a substan- tial energy savings, i.e., up to 10x, for digital circuits. However, due to Process, Voltage, and Temperature (PVT) variations, low…
cs.AR2026
A Cross-Domain Matrix Engine for Signal Processing and Deep Neural Net Inference
Mehdi Safarpour
Matrix multiplication dominates both PHY signal processing and Deep Neural Network (DNN) inference, yet these domains place opposing demands on the matrix engine. Signal processing…
cs.AR2024
Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting
Mikael Rinkinen, Lauri Koskinen, Olli Silven +1
Reduced voltage operation is an effective technique for substantial energy efficiency improvement in digital circuits. This brief introduces a simple approach for enabling reduced…