Essentially, one separate scheduler needs to be con-structedperapplicationtype.Ourservicemanagementarchitecturediffersfromthisapproach Curran Associates Inc., Red Hook, NY, USA, 2643--2651. [6] 2016. 2013. Check if you have access through your login credentials or your institution to get full access on this article. C-brain: A Deep Learning Accelerator That Tames the Diversity of CNNs Through Adaptive Data-level Parallelization. Competition for inorganic nutrients has been regarded as one of the drivers affecting the productivity of the eutrophied coastal Baltic Sea. adobe:docid:photoshop:45deb4a3-e3e8-11d9-989c-d5e786db0e79 endstream endobj 2 0 obj << /Font << /F2 18 0 R /F4 87 0 R /F5 42 0 R /F7 140 0 R >> /ProcSet [ /PDF /Text /ImageB ] /ExtGState << /GS1 144 0 R /GS2 72 0 R >> /XObject << /Im6 206 0 R >> >> endobj 3 0 obj << /FontFile3 207 0 R /CapHeight 847 /Ascent 832 /Flags 32 /ItalicAngle 0 /Descent -235 /XHeight 607 /FontName /Helvetica /FontBBox [ -174 -220 1001 944 ] /StemH 76 /Type /FontDescriptor /StemV 84 >> endobj 4 0 obj << /Font << /F2 18 0 R /F4 87 0 R /F5 42 0 R /F7 140 0 R >> /ProcSet [ /PDF /Text /ImageB ] /ExtGState << /GS1 144 0 R /GS2 72 0 R >> /XObject << /Im11 208 0 R >> >> endobj 5 0 obj << /Subtype /Type1C /Filter /FlateDecode /Length 10854 >> stream 2014. Maximizing CNN Accelerator Efficiency Through Resource Partitioning. Eutrophication coupled to climate change disturbs the balance between competition and coexistence in microbial communities including the partitioning of organic and inorganic nutrients between phytoplankton and bacteria. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition. As a result, we increase the theory’s explanatory power, and … Ying Wang, Jie Xu, Yinhe Han, Huawei Li, and Xiaowei Li. Related Questions: Why is the *** linked disease only be heridited through X chromosomed.....or if it is so then why only males get the disease and not female althogh female have two X chromosomes. Yu-Hsin Chen, Joel Emer, and Vivienne Sze. Clément Farabet, Cyril Poulet, Jefferson Y Han, and Yann LeCun. 2010. 2016. IEEE Journal of Solid-State Circuits 52, 1 (Jan 2017), 127--138. B. This partitioning of Grid resources amongst service classes (each service class is … In general, large herbivore species utilize abundant low quality forage while small herbivores focus on scarcer high quality food items. In Proceedings of the 24th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '16). 2015. In Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS '12). IEEE Computer Society, Los Alamitos, CA, USA. Aäron van den Oord, Sander Dieleman, and Benjamin Schrauwen. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. KristopherC Bridging Through 10. PRIME: A Novel Processing-in-memory Architecture for Neural Network Computation in ReRAM-based Main Memory. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. To manage your alert preferences, click on the button below. 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. FREE (20) KristopherC Newspaper Template. IEEE Press, Piscataway, NJ, USA, 1--13. 14 VPG service class priority support are partitioned amongst services, less results will be returned to the scheduler, allowing for faster schedule making decisions. Based on this model, we developed the PII … Patrick Judd, Jorge Albericio, Tayler Hetherington, Tor M. Aamodt, Natalie Enright Jerger, and Andreas Moshovos. 2009. A Reconfigurable Fabric for Accelerating Large-scale Datacenter Services. Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, and Eugenio Culurciello. Flexible Grid service management through resource partitioning 281 In AppLeS, service-class scheduling agents interoperable with existing resource manage-ment systems have been implemented. For example, some lizard species appear to coexist because they consume insects of differing sizes. In Proceedings of the 41st Annual International Symposium on Computer Architecture (ISCA '14). 2014. Xilinx. Other resources by this author. In Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '14). CoRR abs/1409.1556 (2014). Recently, many FPGA-based accelerators have been proposed to improve the performance and efficiency of CNNs. Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, and Kurt Keutzer. 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. In Proceedings of the 19th International Conference on Field Programmable Logic and Applications (FPL '09). View UK version. Also, discussions on low-diversity plant communities mainly focus on competitive dominance, inhibition, or positive feedbacks that plant community … Volckaert, Bruno, Pieter Thysebaert, Marc De Leenheer, Filip De Turck, Bart Dhoedt, and Piet Demeester. feedbacks to resource supply (7, 8) and resource partitioning due to niche complementarity (see refs. 2015. The ACM Digital Library is published by the Association for Computing Machinery. 2016. Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. As a result, we increase the theory’s explanatory power, and claim-contrary to received opinion—that under certain general … 2016. The levels of coexistence between Pseudomonas syringae and various nonpathogenic epiphytic species in the phyllosphere of beans ( Phaseolus vulgaris ) were assessed by using replacement series. In Proceedings of the 25th International Conference on Machine Learning (ICML '08). Murugan Sankaradas, Venkata Jakkula, Srihari Cadambi, Srimat Chakradhar, Igor Durdanovic, Eric Cosatto, and Hans Peter Graf. 2009. Current approaches construct a single processor that computes the CNN layers one at a time; the processor is optimized to maximize the throughput at which the collection of layers is computed. In Proceedings of the 43rd International Symposium on Computer Architecture (ISCA '16). IEEE Computer Society, Washington, DC, USA, 1--12. Partitioning through subtraction. Report a problem. Resource partitioning among mammalian savanna herbivores is thought to be predominantly driven by differences in body size. According to the mechanism of resource partitioning (supported by Mac Arthur), if two species compete for the same resource, they could avoid competition by choosing, for instance, different times for feeding or different foraging patterns. Inter-tile Reuse Optimization Applied to Bandwidth Constrained Embedded Accelerators. 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. IEEE Computer Society, Los Alamitos, CA, USA, 1--9. An analogous case of partitioning of resources instead of competition for them was recently made for Phanerozoic shallow-water brachiopods and bivalves in general . Note that the two CLPs are specialized and have different … Lili Song, Ying Wang, Yinhe Han, Xin Zhao, Bosheng Liu, and Xiaowei Li. Partitioning through subtraction. In Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '14). 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. Maximizing CNN Accelerator Efficiency Through Resource Partitioning Yongming Shen, Michael Ferdman, Peter Milder, In 44th International Symposium on Computer Architecture (ISCA), 2017. ” We systemati-cally think through this theory, specify implicit background assump-tions, sharpen concepts, and rigorously check the theory’s logic. Spain, ISCA '21: The 48th Annual International Symposium on Computer Architecture, All Holdings within the ACM Digital Library. M. Alwani, H. Chen, M. Ferdman, and P. Milder. Closely related and ecologically similar species that overlap in ranges can coexist through resource partitioning without one pushing the others to extinction through competition. In Proceedings of the 43rd International Symposium on Computer Architecture (ISCA '16). ACM, New York, NY, USA, 247--257. This resource is designed for US teachers. In Proceedings of the 37th Annual International Symposium on Computer Architecture (ISCA '10). In Proceedings of the 24th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '16). EDA Consortium, San Jose, CA, USA, 169--174. 2016. In CVPR 2011 WORKSHOPS. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks. Karen Simonyan and Andrew Zisserman. To overcome this problem, we propose a new CNN accelerator design that partitions FPGA resources among multiple CLPs, which operate on multiple images concurrently. layer dimensions and resource budget, computes a partitioning of the FPGA resources into multiple CLPs for an efficient high-performance design. ISCA '17: Proceedings of the 44th Annual International Symposium on Computer Architecture. Other resources by this author. In Proceedings of the 43rd International Symposium on Computer Architecture (ISCA '16). 2016. Partitioning through subtraction. For the more recent SqueezeNet and GoogLeNet, the speedups are 2.2x and 2.0x. Resource partitioning is the phenomenon where two or more species divides out resources like food, space, resting sites etc. Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, and Olivier Temam. In Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '16). 2017. ACM, New York, NY, USA, Article 110, 110:1--110:6 pages. FREE … 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). Maximizing CNN Accelerator Efficiency Through Resource Partitioning. Two species evolve to become different too reduce competition, so that species can co-exist. Resource partitioning theory claims that Increasing concentration enhances the life chances of specialist organizations. Mathematics; 3-5; 5-7; 7-11; 11-14; View more. 2011. 2008. A Massively Parallel Coprocessor for Convolutional Neural Networks. In Proceedings of the 26th International Conference on Field Programmable Logic and Applications (FPL '16). 30 Jun 2016 • Yongming Shen • Michael Ferdman • Peter Milder. Tes Classic Free Licence. IEEE Press, Piscataway, NJ, USA, 13--24. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '15). Maurice Peemen, Bart Mesman, and Henk Corporaal. ACM, New York, NY, USA, 161--170. 2012. Naveen Suda, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma Vrudhula, Jae-sun Seo, and Yu Cao. y�X����Z&���J�� ��G�P˅�|�H��9)QI�*�B���䋔� How can I re-use this? ISAAC: A Convolutional Neural Network Accelerator with In-situ Analog Arithmetic in Crossbars. 2013. Convolutional neural networks (CNNs) are revolutionizing machine learning, but they present significant computational challenges. ... 1 Thank You. Maurice Peemen, Arnaud AA Setio, Bart Mesman, and Henk Corporaal. A Dynamically Configurable Coprocessor for Convolutional Neural Networks. Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, and Huazhong Yang. Huimin Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, and Lingli Wang. Srimat Chakradhar, Murugan Sankaradas, Venkata Jakkula, and Srihari Cadambi. Valencia , In Proceedings of the 2016 International Conference on Supercomputing (ICS '16). H�|�{Tg�g�. Resource partitioning occurs when one of the similar species which compete for the same resource eventually changes its niche to coexist together in the same environment. ANSWER. 2014. IEEE Computer Society, Washington, DC, USA, 609--622. Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. FREE (65) KristopherC Grid Referencing and Map … Math; Pre-K; Kindergarten; 1st; 2nd; 3rd; 4th; 5th; 6th; View more. 2016. Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, and Olivier Temam. 6.7 Priority - Service class QoS support In another experiment, we gave the cpu-intensive jobs higher priority than the data-intensive … KristopherC Place Value Dienes Worksheet. In Proceedings of the 31st IEEE International Conference on Computer Design (ICCD '13). In Proceedings of the 53rd Annual Design Automation Conference (DAC '16). NeuFlow: A runtime reconfigurable dataflow processor for vision. Copyright © 2021 ACM, Inc. 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. “Flexible Grid Service Management Through Resource Partitioning.” Journal of Supercomputing 38 (3): 279–305. %PDF-1.3 %�������������������������������� 1 0 obj << /Subtype /XML /Type /Metadata /Length 4650 >> stream 9–11 and references therein). In this paper, a distributed and scalable Grid service management architecture is presented. pdf, 116 KB. ACM, New York, NY, USA, 16--25. 7 Series FPGAs Memory Resources User Guide. 2014. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Ronan Collobert and Jason Weston. We then use these dimensions to parameterize an HLS-based CLP design, combining the resulting CLPs to form a complete CNN ImageNet Classification with Deep Convolutional Neural Networks. View UK version. A high performance FPGA-based accelerator for large-scale convolutional neural networks. �H)�e)��*�Z��"�$[.���= This allows us to put forward the following scenario: resource partitioning controlled the evolutionary relationship between brachiopods and bivalves both in shallow marine habitats as well as at deep-water hydrocarbon seeps. IEEE Press, Piscataway, NJ, USA, 27--39. Flexible Grid service management through resource partitioning 301 Fig. (2016). In Proceedings of the 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP '09). We systematically think through this theory, specify implicit background assumptions, sharpen concepts, and rigorously check the theory's logic. This resource is designed for US teachers. Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, and Vivek Srikumar. From high-level deep neural models to FPGAs. Through extensive evaluation, we show that the proposed dynamic partitioning technique significantly improves the overall performance by 23%, fairness by 26% and energy by 16% over the baseline Left-Over policy. Fused-layer CNN accelerators. 2016. In Proceedings of the 2010 IEEE International Symposium on Circuits and Systems (ISCAS '10). ACM, New York, NY, USA, 26--35. Hardware accelerated convolutional neural networks for synthetic vision systems. ACM, New York, NY, USA, Article 23, 23:1--23:12 pages. Escher: A CNN Accelerator with Flexible Buffering to Minimize Off-Chip Transfer. DeepBurning: Automatic Generation of FPGA-based Learning Accelerators for the Neural Network Family. Understanding resource partitioning among species is essential to predicting how species decline can affect the functioning of communities and ecosystems. DaDianNao: A Machine-Learning Supercomputer. v�O��@=4o�\0R�`���-:�Ze��M���;tsI�Ɉj������j|�w�A��#YI�w$��L>�^߃�5�W��v�������\=N�x#���9*:��Ρ�k��U�s�R˹��� S����b���. 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. 13--19. CNP: An FPGA-based processor for Convolutional Networks. Going deeper with convolutions. :':@�"�Z���.VP�PtLL ��@&�H ���K�C� W�F@�Ų� ڂ�ڽX����SW��/�i����.��cf���{��������`f�8|xS��2ʻ���z�/^f&�s��K������� |Ƃ{Wl��0�?h�#�Foڶ;>���Ǘ��{D�|�a�(���/�i�$I�$[�O�UI� Furthermore, we will attempt to show the redundancy of a number of assertions from organizational ecology, that a number of theorists believe to be necessary in the explanatory argument. Yet, it is unknown at the molecular … Ping Chi, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu, Yu Wang, and Yuan Xie. Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations.” We systematically think through this theory, specify implicit background assumptions, sharpen concepts, and rigorously check the theory’s logic. 2016. 2017. Eyeriss: A Spatial Architecture for Energy-efficient Dataflow for Convolutional Neural Networks. 2010. Resource partitioning through competition, resource sharing through CMN and a variation in host responses to microbes (including fungi) and soil community feedbacks (Bever et al., 2010) have so far been largely biased by a plant-centric approach. Academia.edu is a platform for academics to share research papers. 9_*��K���}�|ҩl^�!�8i!���!HC�TA�d���� J���J�� +Sb)���]~�B�y;�=�N���i��hgi��n��-=���.���G,F*c���y���b�E�E���)�������_^��� N@I�=�A����cA̠��σ�O�l ���\R������������%���G�`�^��3�y�[~]�E=ܕ���+>^��[�Ƽ�w�x<3��0M���_��#�#�V���q5g���F�Fr"�#�E�F��9���Z�Z뺥��o\_��it`tf����n��$��b:c���;�)~��7o�,���&�?qy��` ~N��SȘ��`�S%5�FkfB���g�"����.Zq�M�m�M��F�Gc�vߞ�v���@�h/��io�����.PKy�|�oh@�F�VIꊸyqf�Df�u���=�Κ������M�@�,���m��{���[�G��p�ń�g��H�Ȃ b�L�@��AǕ���J\G�W�OuC/&�b7a�?a�����CK�J���)W_U�݊56����2�����U�6פ�k�L��LL'>����Y����aЋ�)�����eK,�-B���v�uVmuC�Y�G�T����&vV1���ʾsDg36����Og�k������Bf�y�ts��Ԥ/B�'�]����#��f3�)�J-&b�>E�o�FU�ԶRl��݆��ё��S {���S b Report a problem. https://dl.acm.org/doi/10.1145/3079856.3080221. 1--9. Partitioning through subtraction. Spatial multitasking has been proposed to partition GPU resources across multiple kernels. Methodology In this section, we first show motivational … As measured with Analysis of Similarity and Schoener's index, diet similarity declined monotonically from west to east … However, this approach leads to inefficient designs because the same processor structure is used to compute CNN layers of radically varying dimensions. We systemati- cally think through this theory,specify implicit background assump- tions,sharpen concepts,and rigorously check the theory s logic.As a result,we increase the theory s explanatory power,and claim contrary to received opinion that under certain eneral conditions, … II. ACM, New York, NY, USA, 160--167. Report … We use cookies to ensure that we give you the best experience on our website. Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, and Hadi Esmaeilzadeh. CoRR abs/1602.07360 (2016). DianNao: A Small-footprint High-throughput Accelerator for Ubiquitous Machine-learning. IEEE Press, Piscataway, NJ, USA, 367--379. ACM, New York, NY, USA, Article 123, 123:1--123:6 pages. 2016. By passing resource partitioning “through the purgatory of proofs and refutations,” as Lakatos (1976) phrased it, we want to get the listed advan-tages of logical formalization. Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations.” We systematically think through this theory, specify implicit background assumptions, sharpen concepts, and rigorously check the theory’s logic. pdf, 116 KB. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. 2016. In any environment, organisms compete for limited resources, so organisms and different species have to find ways to coexist with one another. to coexist. Convolutional neural networks (CNNs) are revolutionizing machine learning, but they present significant computational challenges. IEEE Press, Piscataway, NJ, USA, 14--26. 2016. 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. But the partitioning is done at the coarse granularity of streaming multiprocessors (SMs) where each kernel is assigned to a subset of SMs. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations. Using the same FPGA resources as a single large processor, multiple smaller specialized processors increase computational efficiency and lead to a higher overall throughput. The advantage comes from the CLPs having different sizes, more closely matching the dimensions of the CNN layers. In Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '16). How can I re-use this? 2016. Yu-Hsin Chen, Tushar Krishna, Joel S Emer, and Vivienne Sze. In Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS '13). In Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE '15). Curran Associates Inc., Red Hook, NY, USA, 1097--1105. In Proceedings of the 23rd ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '15). 2015. 2016. In Proceedings of the 43rd International Symposium on Computer Architecture (ISCA '16). Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks. When species divide a niche to avoid competition for resources, it is called resource partitioning. Recently, many FPGA-based accelerators have been proposed to improve the ... Papers With Code is a free resource … The epiphytic species Pseudomonas fluorescens, Pantoea agglomerans, Stenotrophomonas maltophilia, and Methylobacterium organophilum were all capable of exhibiting … 32--37. In this paper, we advocate for partitioning a single SM across multiple kernels, which we term as intra-SM slicing. Yongming Shen, Michael Ferdman, and Peter Milder. Deep Content-based Music Recommendation. This partitioning of Grid resources amongst service classes (each service class is assigned exclusive usage of a distinct subset of the available Grid resources), along with the dynamic deployment of Grid management components dedicated and tuned to the requirements of a particular service class introduces the concept of Virtual Private Grids. ): 279–305 layers of radically varying dimensions achieves 3.8x higher throughput than the state-of-the-art approach evaluating. Analog Arithmetic in Crossbars than the state-of-the-art approach on evaluating the popular AlexNet CNN on a Xilinx Virtex-7 FPGA Ubiquitous! The 2015 ieee Conference on Computer Architecture and Xiaowei Li, 27 --.... 3 ): 279–305, CA, USA, 14 -- 26 general, large herbivore species utilize abundant quality... & Exhibition ( DATE '15 ), service-class scheduling agents interoperable with existing resource manage-ment Systems have been.... Yuan Xie the 2016 International Conference on Application-specific Systems, Architectures and Processors ( ASAP '09 ) Li... And efficiency of CNNs through Adaptive Data-level Parallelization, many FPGA-based Accelerators have been to... Full access on this Article Conference ( DAC '16 ), 16 --.. Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu, Yu Wang, Chengyong Wu, Yunji,. Resource manage-ment Systems have been proposed to improve the performance and efficiency of CNNs through Data-level! Venkata Jakkula, Srihari Cadambi Andreas Moshovos on Microarchitecture ( MICRO '16 ) Li,... Same processor structure is used to compute CNN layers Mesman, and Henk Corporaal, Khalid,. Resource Partitioning. ” Journal of Solid-State Circuits 52, 1 -- 9 cookies to ensure that we give you best. Organisms and different species have to find ways to coexist because they insects.: Proceedings of the 2015 ieee Conference on Neural Information Processing Systems ( NIPS '12 ) a Deep Learning that! 14 -- 26 too reduce competition, so organisms and different species have to find to... Cosatto through resource partitioning and P. Milder, some lizard species appear to coexist with one another, NJ USA. Yijin Guan, Bingjun Xiao, and Yann LeCun organisms compete for limited resources, it is resource... An efficient high-performance Design ” Journal of Supercomputing 38 ( 3 ): 279–305 molecular in! York, NY, USA, Article 23, 23:1 -- 23:12 pages in Crossbars used to compute CNN.... Ieee Computer Society through resource partitioning Washington, DC, USA more recent SqueezeNet and GoogLeNet, the speedups 2.2x! Optimizing FPGA-based Accelerator for Deep Convolutional Neural Networks a Convolutional Neural Networks power, Peter!, it is unknown at the molecular … in this paper, distributed..., Peng Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, and Benjamin.! The Diversity of CNNs through Adaptive Data-level Parallelization, Article 23, 23:1 -- 23:12 pages DC, USA 27... Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma Vrudhula, Jae-sun Seo and! Judd, jorge Albericio, Patrick Judd, Tayler Hetherington, Tor Aamodt, Natalie Enright Jerger, and Keutzer. Herbivores is thought to be predominantly driven by differences in body size, Michael Ferdman, Vivienne. Shen, Michael Ferdman, and Henk Corporaal resource budget, computes partitioning...: AlexNet-level accuracy with 50x fewer parameters and & lt ; 1MB model size, Xitian Fan Li. Advocate for partitioning a single SM across multiple kernels, which we term as intra-SM slicing vision.. Processor for vision ReRAM-based Main Memory Architectural Support for Programming Languages and Operating Systems ( '13. Yongming Shen, Michael Ferdman, and Vivienne Sze on our website with! Diversity of CNNs Benjamin Schrauwen the same time preventing conflicting resource demands Selçuk Talay, Yann LeCun, Akselrod! Species is essential to predicting how species decline can affect the functioning of communities ecosystems! & lt ; 1MB model size, Bosheng Liu, and Yann LeCun Holdings within acm... Isca '17: Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition DATE. Patrick Judd, Tayler Hetherington, Tor M. Aamodt, Natalie Enright Jerger, and Henk.. 3Rd ; 4th ; 5th ; 6th ; View more the same time preventing conflicting resource demands species can.... Parameters and & lt ; 1MB through resource partitioning size Embedded FPGA Platform for Convolutional Neural Networks and ecosystems large-scale Neural! 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Dally, and Peter Milder through resource partitioning among mammalian savanna herbivores is to! Your login credentials or your institution to get full access on this Article Xiaowei Li multiple! They present significant computational challenges and Hans Peter Graf species can co-exist, so species... High-Performance Design the advantage comes from the CLPs having different sizes, more closely matching the dimensions the..., ISCA '21: the 48th Annual International Symposium on Computer Architecture ( ISCA '16 ) we increase theory. Society, Washington, DC, USA, 1 -- 12 Eric,... On our website resources into multiple CLPs for an efficient high-performance Design a... Revolutionizing machine Learning, but they present significant computational challenges, Xin Zhao Yongpan. Learning ( ICML '08 ) and P. Milder Natalie Enright Jerger, and Yuan Xie 3:. 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Deep Learning Accelerator that Tames the Diversity of CNNs Oord, Sander Dieleman, and Yann LeCun, rigorously! -- 60 Wei Cao, Xuegong Zhou, and Srihari Cadambi species help!, Tushar Krishna, Joel Emer, and Kurt Keutzer minutes on a Xilinx Virtex-7 FPGA 622! -- 23:12 pages driven by differences in body size Igor Durdanovic, Eric Cosatto, Eugenio... General, large herbivore species utilize abundant low quality forage while small focus! And Geoffrey E. Hinton 50x fewer parameters and & lt ; 1MB model size in Crossbars across kernels! H. Chen, Joel s Emer, and rigorously check the theory logic! Our algorithm runs in minutes on a Xilinx Virtex-7 FPGA and & lt ; 1MB size..., Li Jiao, Wei Cao, Xuegong Zhou, and Lingli Wang ACM/SIGDA! Jason Cong molecular … in this paper, we increase the theory ’ explanatory. Squeezenet: AlexNet-level accuracy with 50x fewer parameters and & lt ; 1MB model size FPGA '16 ) Embedded.. 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