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Showing 24 results for "sofoklis floratos" in Computer Science
Computer Science Preprint PDF DOI

Closing the Gap Between Float and Posit Hardware Efficiency

Aditya Anirudh Jonnalagadda, Rishi Thotli, John L. Gustafson · 2026

The b-posit, or bounded posit, is a variation of the posit format designed for high performance computing (HPC) and AI applications. Unlike traditional floating-point formats (floats), posits use vari…

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The Native Spiking Microarchitecture: From Iontronic Primitives to Bit-Exact FP8 Arithmetic

Zhengzheng Tang · 2025

The 2025 Nobel Prize in Chemistry for Metal-Organic Frameworks (MOFs) and recent breakthroughs by Huanting Wang's team at Monash University establish angstrom-scale channels as promising post-silicon …

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Computer Science Preprint PDF DOI

Formal that "Floats" High: Formal Verification of Floating Point Arithmetic

Hansa Mohanty, Vaisakh Naduvodi Viswambharan, Deepak Narayan Gadde · 2025

Formal verification of floating-point arithmetic remains challenging due to non-linear arithmetic behavior and the tight coupling between control and datapath logic. Existing approaches often rely on …

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Computer Science Preprint PDF DOI

Expressive Power of Graph Transformers via Logic

Veeti Ahvonen, Maurice Funk, Damian Heiman, Antti Kuusisto, Carsten Lutz · 2025

Transformers are the basis of modern large language models, but relatively little is known about their precise expressive power on graphs. We study the expressive power of graph transformers (GTs) by …

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Computer Science Preprint PDF DOI

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification

Jonathan Will, Lauritz Thamsen, Jonathan Bader, Odej Kao · 2025

Distributed dataflow systems like Spark and Flink enable data-parallel processing of large datasets on clusters of cloud resources. Yet, selecting appropriate computational resources for dataflow jobs…

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Computer Science Preprint PDF DOI

Float Self-Tagging

Olivier Melancon, Manuel Serrano, Marc Feeley · 2024

Dynamic and polymorphic languages attach information, such as types, to run time objects, and therefore adapt the memory layout of values to include space for this information. This makes it difficult…

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Computer Science Preprint PDF DOI

Evaluation of Posits for Spectral Analysis Using a Software-Defined Dataflow Architecture

Sameer Deshmukh, Daniel Khankin, William Killian, John Gustafson, Elad Raz · 2024

Spectral analysis plays an important role in detection of damage in structures and deep learning. The choice of a floating-point format plays a crucial role in determining the accuracy and performance…

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Computer Science Preprint PDF DOI

Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats

Veeti Ahvonen, Damian Heiman, Antti Kuusisto, Carsten Lutz · 2024

In pioneering work from 2019, Barcel\'o and coauthors identified logics that precisely match the expressive power of constant iteration-depth graph neural networks (GNNs) relative to properties defina…

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Computer Science Preprint PDF DOI

PPU: Design and Implementation of a Pipelined Full Posit Processing Unit

Federico Rossi, Francesco Urbani, Marco Cococcioni, Emanuele Ruffaldi, Sergio Saponara · 2023

By exploiting the modular RISC-V ISA this paper presents the customization of instruction set with posit\textsuperscript{\texttrademark} arithmetic instructions to provide improved numerical accuracy,…

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Computer Science Preprint PDF DOI

Descriptive complexity for neural networks via Boolean networks

Veeti Ahvonen, Damian Heiman, Antti Kuusisto · 2023

We investigate the expressive power of neural networks from the point of view of descriptive complexity. We study neural networks that use floating-point numbers and piecewise polynomial activation fu…

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Differentially Private Wireless Federated Learning Using Orthogonal Sequences

Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor · 2023

We propose a privacy-preserving uplink over-the-air computation (AirComp) method, termed FLORAS, for single-input single-output (SISO) wireless federated learning (FL) systems. From the perspective of…

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Computer Science Preprint PDF DOI

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Silvia Casacuberta, Michael Shoemate, Salil Vadhan, Connor Wagaman · 2022

We identify a new class of vulnerabilities in implementations of differential privacy. Specifically, they arise when computing basic statistics such as sums, thanks to discrepancies between the implem…

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Computer Science Preprint PDF DOI

PERCIVAL: Open-Source Posit RISC-V Core with Quire Capability

David Mallasen, Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Luis Pinuel, Manuel Prieto · 2021

The posit representation for real numbers is an alternative to the ubiquitous IEEE 754 floating-point standard. In this work, we present PERCIVAL, an application-level posit capable RISC-V core based …

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Computer Science Preprint PDF DOI

An End-to-End Framework for Dynamic Crime Profiling of Places

Shailendra Kumar Gupta, Shreyanshu Shekhar, Neeraj Goel, Mukesh Saini · 2021

Much effort is being made to ensure the safety of people. One of the main requirements of travellers and city administrators is to have knowledge of places that are more prone to criminal activities. …

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Computer Science Preprint PDF DOI

Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN

Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang · 2021

Low-power wide-area network technologies such as LoRaWAN are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a criti…

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Computer Science Preprint PDF DOI

FPnew: An Open-Source Multi-Format Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing

Stefan Mach, Fabian Schuiki, Florian Zaruba, Luca Benini · 2020

The slowdown of Moore's law and the power wall necessitates a shift towards finely tunable precision (a.k.a. transprecision) computing to reduce energy footprint. Hence, we need circuits capable of pe…

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Computer Science Preprint PDF DOI

SNIFF: Reverse Engineering of Neural Networks with Fault Attacks

Jakub Breier, Dirmanto Jap, Xiaolu Hou, Shivam Bhasin, Yang Liu · 2020

Neural networks have been shown to be vulnerable against fault injection attacks. These attacks change the physical behavior of the device during the computation, resulting in a change of value that i…

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Computer Science Preprint PDF DOI

Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN

Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang · 2019

Low-power wide-area network technologies such as LoRaWAN are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a criti…

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Computer Science Preprint PDF DOI

Compiled Obfuscation for Data Structures in Encrypted Computing

Peter T. Breuer · 2019

Encrypted computing is an emerging technology based on a processor that `works encrypted', taking encrypted inputs to encrypted outputs while data remains in encrypted form throughout. It aims to secu…

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Computer Science Preprint PDF DOI

Indexing Operators to Extend the Reach of Symbolic Execution

Earl T. Barr, David Clark, Mark Harman, Alexandru Marginean · 2018

Traditional program analysis analyses a program language, that is, all programs that can be written in the language. There is a difference, however, between all possible programs that can be written a…

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