In Proceedings of the 2010 IEEE International Symposium on Circuits and Systems (ISCAS '10). We present a new CNN accelerator paradigm and an accompanying automated design methodology that partitions the available FPGA resources into multiple processors, each of which is tailored for a different subset of the CNN convolutional layers. This partitioning of Grid resources amongst service classes (each service class is … Resource partitioning is the phenomenon where two or more species divides out resources like food, space, resting sites etc. IEEE Press, Piscataway, NJ, USA, 13--24. This alert has been successfully added and will be sent to: You will be notified whenever a record that you have chosen has been cited. Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, and Doug Burger. However, a lack of study on resource utilization efficiency—alink between resource and productivity—has rendered it difficult (12) ... complementarity) and efficiency of resource utilization (through dimin-ishing marginal productivity) (A). A Dynamically Configurable Coprocessor for Convolutional Neural Networks. In Proceedings of the 24th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '16). Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 257--260. 2016. Naveen Suda, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma Vrudhula, Jae-sun Seo, and Yu Cao. An analogous case of partitioning of resources instead of competition for them was recently made for Phanerozoic shallow-water brachiopods and bivalves in general . Report … IEEE Journal of Solid-State Circuits 52, 1 (Jan 2017), 127--138. IEEE Computer Society, Washington, DC, USA, 609--622. ACM, New York, NY, USA, 160--167. Memory-centric accelerator design for Convolutional Neural Networks. Our design methodology achieves 3.8x higher throughput than the state-of-the-art approach on evaluating the popular AlexNet CNN on a Xilinx Virtex-7 FPGA. %PDF-1.3 %�������������������������������� 1 0 obj << /Subtype /XML /Type /Metadata /Length 4650 >> stream Our algorithm runs in minutes on a modern system and produces a set of CLP dimensions. ” We systemati-cally think through this theory, specify implicit background assump-tions, sharpen concepts, and rigorously check the theory’s logic. 2009. We illustrate the operation of Multi-CLP in Figure 1 (bottom), where the hardware resources are partitioned among two smaller CLPs that operate in parallel on different images. In Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '14). 2016. �H)�e)��*�Z��"�$[.���= The proposed architecture is capable of monitoring task submission behaviour and deriving Grid service class characteristics, for use in performing automated computational, storage and network resource-to-service partitioning. Mathematics; 3-5; 5-7; 7-11; 11-14; View more. In Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS '12). https://dl.acm.org/doi/10.1145/3079856.3080221. 2012. Murugan Sankaradas, Venkata Jakkula, Srihari Cadambi, Srimat Chakradhar, Igor Durdanovic, Eric Cosatto, and Hans Peter Graf. ... best resource partitioning approach to maximize resource utilization while at the same time preventing conflicting resource demands. Categories & Grades. In Proceedings of the 43rd International Symposium on Computer Architecture (ISCA '16). But the partitioning is done at the coarse granularity of streaming multiprocessors (SMs) where each kernel is assigned to a subset of SMs. How can I re-use this? Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations.”. Partitioning through subtraction. 2013. 2014. 2014. When resources Springer Flexible Grid service management through resource partitioning 303 Fig. Hardware accelerated convolutional neural networks for synthetic vision systems. 2016. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. IEEE Computer Society, Washington, DC, USA, 53--60. Cnvlutin: Ineffectual-neuron-free Deep Neural Network Computing. View UK version. 2015. “Flexible Grid Service Management Through Resource Partitioning.” Journal of Supercomputing 38 (3): 279–305. Resource partitioning among mammalian savanna herbivores is thought to be predominantly driven by differences in body size. This resource is designed for US teachers. Competition for inorganic nutrients has been regarded as one of the drivers affecting the productivity of the eutrophied coastal Baltic Sea. 2016. [6] Note that the two CLPs are specialized and have different … Partitioning through subtraction. Maximizing CNN Accelerator Efficiency Through Resource Partitioning Yongming Shen, Michael Ferdman, Peter Milder, In 44th International Symposium on Computer Architecture (ISCA), 2017. C-brain: A Deep Learning Accelerator That Tames the Diversity of CNNs Through Adaptive Data-level Parallelization. Yongming Shen, Michael Ferdman, and Peter Milder. Yu-Hsin Chen, Tushar Krishna, Joel S Emer, and Vivienne Sze. IEEE Press, Piscataway, NJ, USA, 14--26. In any environment, organisms compete for limited resources, so organisms and different species have to find ways to coexist with one another. To improve the resource utilization and thus CNN performance, we propose Multi-CLP accelerators, where the available resources are partitioned across several smaller convolutional layer processors rather than a single large one. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations. A Reconfigurable Fabric for Accelerating Large-scale Datacenter Services. In Proceedings of the 53rd Annual Design Automation Conference (DAC '16). FREE … Curran Associates Inc., Red Hook, NY, USA, 2643--2651. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. II. Convolutional neural networks (CNNs) are revolutionizing machine learning, but they present significant computational challenges. 2016. y�X����Z&���J�� ��G�P˅�|�H��9)QI�*�B���䋔� 2014. ACM, New York, NY, USA, 26--35. Comparing diets of native yellow perch Perca flavescens and nonindigenous white perch Morone americana, we examined variation in resource partitioning and body condition across a prominent longitudinal nutrient gradient in Lake Erie (north‐eastern United States, Canada). As measured with Analysis of Similarity and Schoener's index, diet similarity declined monotonically from west to east … Supply ( 7, 8 ) and resource budget, computes a partitioning of the 43rd International Symposium on vision..., Xuegong Zhou, and Geoffrey E. Hinton theory 's logic resource Partitioning. ” Journal of Solid-State Circuits 52 1... 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