Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Mendelson, Avi"'
Real-Time systems are often implemented as reactive systems that respond to stimuli and complete tasks in a known bounded time. The development process of such systems usually involves using a cycle-accurate simulation environment and even the digita
Externí odkaz:
http://arxiv.org/abs/2304.03657
Quantized neural networks are well known for reducing the latency, power consumption, and model size without significant harm to the performance. This makes them highly appropriate for systems with limited resources and low power capacity. Mixed-prec
Externí odkaz:
http://arxiv.org/abs/2205.15437
Binary Neural Networks (BNNs) are an extremely promising method to reduce deep neural networks' complexity and power consumption massively. Binarization techniques, however, suffer from ineligible performance degradation compared to their full-precis
Externí odkaz:
http://arxiv.org/abs/2204.02004
Graph isomorphism testing is usually approached via the comparison of graph invariants. Two popular alternatives that offer a good trade-off between expressive power and computational efficiency are combinatorial (i.e., obtained via the Weisfeiler-Le
Externí odkaz:
http://arxiv.org/abs/2201.13410
Autor:
Fishman, Maxim, Baskin, Chaim, Zheltonozhskii, Evgenii, David, Almog, Banner, Ron, Mendelson, Avi
Graph neural networks (GNNs) have become a powerful tool for processing graph-structured data but still face challenges in effectively aggregating and propagating information between layers, which limits their performance. We tackle this problem with
Externí odkaz:
http://arxiv.org/abs/2201.12843
The success of learning with noisy labels (LNL) methods relies heavily on the success of a warm-up stage where standard supervised training is performed using the full (noisy) training set. In this paper, we identify a "warm-up obstacle": the inabili
Externí odkaz:
http://arxiv.org/abs/2103.13646
Autor:
Haj-Yahya, Jawad, Alser, Mohammed, Kim, Jeremie S., Orosa, Lois, Rotem, Efraim, Mendelson, Avi, Chattopadhyay, Anupam, Mutlu, Onur
Modern client processors typically use one of three commonly-used power delivery network (PDN): 1) motherboard voltage regulators (MBVR), 2) integrated voltage regulators (IVR), and 3) low dropout voltage regulators (LDO). We observe that the energy-
Externí odkaz:
http://arxiv.org/abs/2009.09094
Autor:
Gabbay, Freddy, Mendelson, Avi
Reliability is a crucial requirement in any modern microprocessor to assure correct execution over its lifetime. As mission critical components are becoming common in commodity systems; e.g., control of autonomous cars, the demand for reliable proces
Externí odkaz:
http://arxiv.org/abs/2009.03945
Unsupervised learning has always been appealing to machine learning researchers and practitioners, allowing them to avoid an expensive and complicated process of labeling the data. However, unsupervised learning of complex data is challenging, and ev
Externí odkaz:
http://arxiv.org/abs/2008.10312
Autor:
Gabbay, Freddy, Mendelson, Avi
Reliability is a fundamental requirement in any microprocessor to guarantee correct execution over its lifetime. The design rules related to reliability depend on the process technology being used and the expected operating conditions of the device.
Externí odkaz:
http://arxiv.org/abs/2005.01593