Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Diamantopoulos, Dionysios"'
Autor:
Diamantopoulos, Dionysios, Pletka, Roman, Sarafijanovic, Slavisa, Reddy, A. L. Narasimha, Pozidis, Haris
Ransomware, a fearsome and rapidly evolving cybersecurity threat, continues to inflict severe consequences on individuals and organizations worldwide. Traditional detection methods, reliant on static signatures and application behavioral patterns, ar
Externí odkaz:
http://arxiv.org/abs/2403.07540
Autor:
Singh, Gagandeep, Diamantopoulos, Dionysios, Gómez-Luna, Juan, Stuijk, Sander, Corporaal, Henk, Mutlu, Onur
Machine learning has recently gained traction as a way to overcome the slow accelerator generation and implementation process on an FPGA. It can be used to build performance and resource usage models that enable fast early-stage design space explorat
Externí odkaz:
http://arxiv.org/abs/2208.10606
Autor:
Singh, Gagandeep, Diamantopoulos, Dionysios, Gómez-Luna, Juan, Hagleitner, Christoph, Stuijk, Sander, Corporaal, Henk, Mutlu, Onur
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 implementations suffer from limited performance and high energy consumptio
Externí odkaz:
http://arxiv.org/abs/2107.08716
Autor:
Singh, Gagandeep, Alser, Mohammed, Cali, Damla Senol, Diamantopoulos, Dionysios, Gómez-Luna, Juan, Corporaal, Henk, Mutlu, Onur
Modern data-intensive applications demand high computation capabilities with strict power constraints. Unfortunately, such applications suffer from a significant waste of both execution cycles and energy in current computing systems due to the costly
Externí odkaz:
http://arxiv.org/abs/2106.06433
Autor:
Diamantopoulos, Dionysios, Polig, Raphael, Ringlein, Burkhard, Purandare, Mitra, Weiss, Beat, Hagleitner, Christoph, Lantz, Mark, Abel, Francois
The evolution of cloud applications into loosely-coupled microservices opens new opportunities for hardware accelerators to improve workload performance. Existing accelerator techniques for cloud sacrifice the consolidation benefits of microservices.
Externí odkaz:
http://arxiv.org/abs/2106.06293
Autor:
Pilato, Christian, Bohm, Stanislav, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cima, Vojtech, Cmar, Radim, Diamantopoulos, Dionysios, Ferrandi, Fabrizio, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Antonio, Pittaluga, Lorenzo, Raho, Daniel, Regazzoni, Francesco, Slaninova, Katerina, Hagleitner, Christoph
High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge extraction and decision making. Designers are moving towards a tight inte
Externí odkaz:
http://arxiv.org/abs/2103.04185
Autor:
Singh, Gagandeep, Diamantopoulos, Dionysios, Hagleitner, Christoph, Gomez-Luna, Juan, Stuijk, Sander, Mutlu, Onur, Corporaal, Henk
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 implementations suffer from limited performance and high energy consumptio
Externí odkaz:
http://arxiv.org/abs/2009.08241
Autor:
Diamantopoulos, Dionysios, Ringlein, Burkhard, Purandare, Mitra, Singh, Gagandeep, Hagleitner, Christoph
Specialized accelerators for tensor-operations, such as blocked-matrix operations and multi-dimensional convolutions, have been emerged as powerful architecture choices for high-performance Deep-Learning computing. The rapid development of frameworks
Externí odkaz:
http://arxiv.org/abs/2004.10854
Autor:
Kara, Kaan, Hagleitner, Christoph, Diamantopoulos, Dionysios, Syrivelis, Dimitris, Alonso, Gustavo
FPGA-based data processing in datacenters is increasing in popularity due to the demands of modern workloads and the ensuing necessity for specialization in hardware. Driven by this trend, vendors are rapidly adapting reconfigurable devices to suit d
Externí odkaz:
http://arxiv.org/abs/2004.01635
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