9 papers
Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks
Dionysios Adamopoulos, Anastasia Poulopoulou, Georgios Goumas +1
Sparse Convolution (SpC) powers 3D point cloud networks widely used in autonomous driving and augmented/virtual reality. SpC builds a kernel map that stores mappings between input…
Squeezy: Rapid VM Memory Reclamation for Serverless Functions
Orestis Lagkas Nikolos, Chloe Alverti, Stratos Psomadakis +2
Resource elasticity is one of the key defining characteristics of the Function-as-a-Service (FaaS) serverless computing paradigm. While compute resources assigned to VM-sandboxed f…
Sparse Computations in Deep Learning Inference
Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25
The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…
Probabilistic Links Between Quantum Classification of Patterns of Boolean Functions and Hamming Distance
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This article investigates the probabilistic relationship between quantum classification of Boolean functions and their Hamming distance. By integrating concepts from quantum comput…
Quantum Shadows: The Dining Information Brokers
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This article introduces the innovative Quantum Dining Information Brokers Problem, presenting a novel entanglement-based quantum protocol to address it. The scenario involves i…
Quantum Classification Outside the Promised Class
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas +2
This paper studies the important problem of quantum classification of Boolean functions from a entirely novel perspective. Typically, quantum classification algorithms allow us to…