4 papers
bitSMM: A bit-Serial Matrix Multiplication Accelerator
Pedro Antunes, Artur Podobas
Neural-network (NN) inference is increasingly present on-board spacecraft to reduce downlink bandwidth and enable timely decision making. However, the power and reliability constra…
Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund +4
Space missions increasingly deploy high-fidelity sensors that produce data volumes exceeding onboard buffering and downlink capacity. This work evaluates FPGA acceleration of neura…
AIvailable: A Software-Defined Architecture for LLM-as-a-Service on Heterogeneous and Legacy GPUs
Pedro Antunes, Ana Rita Ortigoso, Gabriel Vieira +4
The rise of Large Language Models (LLM) has increased the need for scalable, high-performance inference systems, yet most existing frameworks assume homogeneous, resource-rich hard…
HashKitty: Distributed Password Analysis
Pedro Antunes, Tomás Santos, Daniel Fuentes +1
This article documents the HashKitty platform, a distributed solution for password analysis based on the hashcat tool, designed to improve efficiency in both offensive and defensiv…