Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Arnau, José"'
Autor:
Canal, Ramon, Di Carlo, Stefano, Gizopoulos, Dimitris, Scionti, Alberto, Lubrano, Francesco, Berral, Josep-Lluís, Call, Aaron, Marron, Diego, Nikas, Konstantinos, Pnevmatikatos, Dionisios, Raho, Daniel, Rigo, Alvise, Papaefstathiou, Yannis, Arnau, José María, Arelakis, Angelos
Among the key contributions of Vitamin-V (2023-2025 Horizon Europe project), we develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart. In this paper, we detail the so
Externí odkaz:
http://arxiv.org/abs/2407.00052
Modern GPUs require an enormous register file (RF) to store the context of thousands of active threads. It consumes considerable energy and contains multiple large banks to provide enough throughput. Thus, a RF caching mechanism can significantly imp
Externí odkaz:
http://arxiv.org/abs/2310.17501
Publikováno v:
ISCA'23 Proceedings of the 50th Annual International Symposium on Computer Architecture, Article No. 20, 2023
Autonomous Driving (AD) systems extensively manipulate 3D point clouds for object detection and vehicle localization. Thereby, efficient processing of 3D point clouds is crucial in these systems. In this work we propose K-D Bonsai, a technique to cut
Externí odkaz:
http://arxiv.org/abs/2302.00361
Binary Neural Networks (BNNs) are showing tremendous success on realistic image classification tasks. Notably, their accuracy is similar to the state-of-the-art accuracy obtained by full-precision models tailored to edge devices. In this regard, BNNs
Externí odkaz:
http://arxiv.org/abs/2212.00608
Recurrent Neural Networks (RNNs) are a key technology for applications such as automatic speech recognition or machine translation. Unlike conventional feed-forward DNNs, RNNs remember past information to improve the accuracy of future predictions an
Externí odkaz:
http://arxiv.org/abs/2202.06563
Deep Neural Networks (DNNs) are widely used in many applications domains. However, they require a vast amount of computations and memory accesses to deliver outstanding accuracy. In this paper, we propose a scheme to predict whether the output of eac
Externí odkaz:
http://arxiv.org/abs/2202.04990
The outstanding accuracy achieved by modern Automatic Speech Recognition (ASR) systems is enabling them to quickly become a mainstream technology. ASR is essential for many applications, such as speech-based assistants, dictation systems and real-tim
Externí odkaz:
http://arxiv.org/abs/2202.04971
Publikováno v:
In Microprocessors and Microsystems September 2024 109
Deep Neural Networks (DNNs) have achieved tremendous success for cognitive applications. The core operation in a DNN is the dot product between quantized inputs and weights. Prior works exploit the weight/input repetition that arises due to quantizat
Externí odkaz:
http://arxiv.org/abs/2107.09408
With computers getting more and more powerful and integrated in our daily lives, the focus is increasingly shifting towards more human-friendly interfaces, making Automatic Speech Recognition (ASR) a central player as the ideal means of interaction w
Externí odkaz:
http://arxiv.org/abs/2101.09083