activity
20202024
most citedFPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

74 citations · 105 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CR2024

On the Generalizability of Machine Learning-based Ransomware Detection in Block Storage

Nicolas Reategui, Roman Pletka, Dionysios Diamantopoulos

Ransomware represents a pervasive threat, traditionally countered at the operating system, file-system, or network levels. However, these approaches often introduce significant ove…

cs.CR2024

WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces

Dionysios Diamantopoulos, Roman Pletka, Slavisa Sarafijanovic +2

Ransomware, a fearsome and rapidly evolving cybersecurity threat, continues to inflict severe consequences on individuals and organizations worldwide. Traditional detection methods…

cs.AR2021★ 74 cited

FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

Gagandeep Singh, Mohammed Alser, Damla Senol Cali +4

Modern data-intensive applications demand high computation capabilities with strict power constraints. Unfortunately, such applications suffer from a significant waste of both exec…

cs.AR2021★ 26 cited

Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric

Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna +4

Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU impl…

cs.NI2021

Acceleration-as-a-μService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs

Dionysios Diamantopoulos, Raphael Polig, Burkhard Ringlein +5

The evolution of cloud applications into loosely-coupled microservices opens new opportunities for hardware accelerators to improve workload performance. Existing accelerator techn…

cs.DC2021★ 5 cited

EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms

Christian Pilato, Stanislav Bohm, Fabien Brocheton +15

High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge ext…