A
Ayose Falcón
Researcher at Intel
Publications - 37
Citations - 781
Ayose Falcón is an academic researcher from Intel. The author has contributed to research in topics: Branch predictor & Thread (computing). The author has an hindex of 13, co-authored 37 publications receiving 772 citations. Previous affiliations of Ayose Falcón include Hewlett-Packard & Polytechnic University of Catalonia.
Papers
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Journal ArticleDOI
COTSon: infrastructure for full system simulation
TL;DR: COTSon opens up a new dimension in the speed/accuracy space, allowing simulation of a cluster of nodes several orders of magnitude faster with a minimal accuracy loss, and abandon the idea of "always-on" cycle-based simulation in favor of statistical sampling approaches that can trade accuracy for speed.
Journal ArticleDOI
How to simulate 1000 cores
TL;DR: A novel methodology to efficiently simulate shared-memory multiprocessors composed of hundreds of cores, which captures the intrinsic behavior of the SPLASH-2 suite, even when the number of shared- memory cores beyond the thousand-core limit is scaled up.
Patent
Weight-shifting mechanism for convolutional neural networks
Ayose Falcón,Marc Lupon,Herrero Abellanas Enric,Pedro Lopez,Fernando Latorre,Frederico Pratas,Georgios Tournavitis +6 more
TL;DR: A processor includes a processor core and a calculation circuit as discussed by the authors, which includes logic to determine a set of weights for use in a convolutional neural network (CNN) calculation and scale up the weights using a scale value.
Patent
Storage device and method for performing convolution operations
Herrero Abellanas Enric,Georgios Tournavitis,Frederico Pratas,Marc Lupon,Fernando Latorre,Pedro Lopez,Ayose Falcón +6 more
TL;DR: In this paper, a storage device and method for performing convolution operations is described, which comprises a plurality of processing units to execute convolution operation on input data and partial results.
Patent
Method and apparatus for distributed and cooperative computation in artificial neural networks
Frederico Pratas,Ayose Falcón,Marc Lupon,Fernando Latorre,Pedro Lopez,Enric Herrero Abellanas,Georgios Tournavitis +6 more
TL;DR: In this paper, an apparatus and method for distributed and cooperative computation in artificial neural networks is described, which comprises an input/output (I/O) interface, a plurality of processing units communicatively coupled to the I/O interface to receive data for input neurons and synaptic weights associated with each of the input neurons, each unit processing at least a portion of the data for the inputs and weights to generate partial results.