Search Results - "Hetherington, Tayler"

Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing by Albericio, Jorge, Judd, Patrick, Hetherington, Tayler, Aamodt, Tor, Jerger, Natalie Enright, Moshovos, Andreas

“…This work observes that a large fraction of the computations performed by Deep Neural Networks (DNNs) are intrinsically ineffectual as they involve a…”
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Stripes: Bit-serial deep neural network computing by Judd, Patrick, Albericio, Jorge, Hetherington, Tayler, Aamodt, Tor M., Moshovos, Andreas

“…Motivated by the variance in the numerical precision requirements of Deep Neural Networks (DNNs) [1], [2], Stripes (STR), a hardware accelerator is presented…”
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Proteus: Exploiting precision variability in deep neural networks by Judd, Patrick, Albericio, Jorge, Hetherington, Tayler, Aamodt, Tor, Enright Jerger, Natalie, Urtasun, Raquel, Moshovos, Andreas

“…•Analyses a set of deep neural networks in terms of required precision per layer.•Describes a method of finding the Pareto frontier in accuracy vs. memory…”
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Exploiting Typical Values to Accelerate Deep Learning by Moshovos, Andreas, Albericio, Jorge, Judd, Patrick, Lascorz, Alberto Delmas, Sharify, Sayeh, Poulos, Zissis, Hetherington, Tayler, Aamodt, Tor, Jerger, Natalie Enright

“…To deliver the hardware computation power advances needed to support deep learning innovations, identifying deep learning properties that designers could…”
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EDGE: Event-Driven GPU Execution by Hetherington, Tayler Hicklin, Lubeznov, Maria, Shah, Deval, Aamodt, Tor M.

“…GPUs are known to benefit structured applications with ample parallelism, such as deep learning in a datacenter. Recently, GPUs have shown promise for…”
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Value-Based Deep-Learning Acceleration by Moshovos, Andreas, Albericio, Jorge, Judd, Patrick, Delmas Lascorz, Alberto, Sharify, Sayeh, Hetherington, Tayler, Aamodt, Tor, Enright Jerger, Natalie

“…This article summarizes our recent work on value-based hardware accelerators for image classification using Deep Convolutional Neural Networks (CNNs). The…”
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Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems by Hetherington, T. H., Rogers, T. G., Hsu, L., O'Connor, M., Aamodt, T. M.

“…The recent use of graphics processing units (GPUs) in several top supercomputers demonstrate their ability to consistently deliver positive results in…”
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Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning by Moshovos, Andreas, Albericio, Jorge, Judd, Patrick, Delmas, Alberto, Sharify, Sayeh, Mahmoud, Mostafa, Hetherington, Tayler, Nikolic, Milos, Stuart, Dylan Malone, Siu, Kevin, Poulos, Zissis, Aamodt, Tor, Jerger, Natalie Enright

“…This article summarizes somde of our work on hardware accelerators for inference with Deep Learning Neural Networks (DNNs). Early success in hardware…”
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Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets by Judd, Patrick, Albericio, Jorge, Hetherington, Tayler, Aamodt, Tor, Jerger, Natalie Enright, Urtasun, Raquel, Moshovos, Andreas

“…This work investigates how using reduced precision data in Convolutional Neural Networks (CNNs) affects network accuracy during classification. More…”
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