Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Adrián Cristal"'
Autor:
Keller, Kai, Yashiro, Hisashi, Wahib, Mohamed, Gerofi, Balazs, Kestelman, Adrian Cristal, Bautista-Gomez, Leonardo
Ensemble data assimilation techniques form an indispensable part of numerical weather prediction. As the ensemble size grows and model resolution increases, the amount of required storage becomes a major issue. Data compression schemes may come to th
Externí odkaz:
http://arxiv.org/abs/2410.03184
Autor:
Yüksel, İsmail Emir, Salami, Behzad, Ergin, Oğuz, Ünsal, Osman Sabri, Kestelman, Adrian Cristal
On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g., GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep Neural Networks (DNNs) runni
Externí odkaz:
http://arxiv.org/abs/2110.05855
Autor:
Larimi, Seyed Saber Nabavi, Salami, Behzad, Unsal, Osman S., Kestelman, Adrian Cristal, Sarbazi-Azad, Hamid, Mutlu, Onur
Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory bandwidth requirements. An HBM-enabled device consists of multiple DRAM layers stacked on top of one another next to a compute chip (e.g. CPU, GPU, and FPGA) in the same
Externí odkaz:
http://arxiv.org/abs/2101.00969
Autor:
Papadimitriou, George, Chatzidimitriou, Athanasios, Gizopoulos, Dimitris, Reddi, Vijay Janapa, Leng, Jingwen, Salami, Behzad, Unsal, Osman S., Kestelman, Adrian Cristal
Modern large-scale computing systems (data centers, supercomputers, cloud and edge setups and high-end cyber-physical systems) employ heterogeneous architectures that consist of multicore CPUs, general-purpose many-core GPUs, and programmable FPGAs.
Externí odkaz:
http://arxiv.org/abs/2006.01049
Autor:
Salami, Behzad, Onural, Erhan Baturay, Yuksel, Ismail Emir, Koc, Fahrettin, Ergin, Oguz, Kestelman, Adrian Cristal, Unsal, Osman S., Sarbazi-Azad, Hamid, Mutlu, Onur
We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field Programmable Gate Arrays (FPG
Externí odkaz:
http://arxiv.org/abs/2005.03451
In this paper, we propose TauRieL and target Traveling Salesman Problem (TSP) since it has broad applicability in theoretical and applied sciences. TauRieL utilizes an actor-critic inspired architecture that adopts ordinary feedforward nets to obtain
Externí odkaz:
http://arxiv.org/abs/1905.05567
Voltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage level and without accompanying
Externí odkaz:
http://arxiv.org/abs/1903.12514
Akademický článek
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Akademický článek
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Autor:
Enrico Reggiani, Cristóbal Ramírez Lazo, Roger Figueras Bagué, Adrián Cristal, Mauro Olivieri, Osman Sabri Unsal
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Linear algebra computational kernels based on byte and sub-byte integer data formats are at the base of many classes of applications, ranging from Deep Learning to Pattern Matching. Porting the computation of these applications from cloud to edge and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c11859a17886fea05ca0d24201050157
https://hdl.handle.net/2117/367954
https://hdl.handle.net/2117/367954