Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Hagleitner, Christoph"'
Autor:
Pilato, Christian, Banik, Subhadeep, Beranek, Jakub, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cmar, Radim, Curzel, Serena, Ferrandi, Fabrizio, Friebel, Karl F. A., Galizia, Antonella, Grasso, Matteo, Silva, Paulo, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Andrea, Parodi, Antonio, Pintus, Fabio, Polig, Raphael, Poulet, David, Regazzoni, Francesco, Ringlein, Burkhard, Rocco, Roberto, Slaninova, Katerina, Slooff, Tom, Soldavini, Stephanie, Suchert, Felix, Tibaldi, Mattia, Weiss, Beat, Hagleitner, Christoph
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately support decision-making. These energy-hungry workflows are increasingly e
Externí odkaz:
http://arxiv.org/abs/2402.12612
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:
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
Autor:
Polig, Raphael, Atasu, Kubilay, Chiticariu, Laura, Hagleitner, Christoph, Hofstee, H. Peter, Reiss, Frederick R., Sitaridi, Eva, Zhu, Huaiyu
Publikováno v:
IEEE Micro ( Volume: 34, Issue: 4, July-Aug. 2014 ) p. 6-14
The amount of textual data has reached a new scale and continues to grow at an unprecedented rate. IBM's SystemT software is a powerful text analytics system, which offers a query-based interface to reveal the valuable information that lies within th
Externí odkaz:
http://arxiv.org/abs/1806.01103
Akademický článek
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Autor:
Polig, Raphael, Atasu, Kubilay, Giefers, Heiner, Hagleitner, Christoph, Chiticariu, Laura, Reiss, Frederick, Zhu, Huaiyu, Hofstee, Peter
Publikováno v:
In Journal of Parallel and Distributed Computing January 2018 111:260-272