Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Ata de Congresso
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MACACO: modeling and analysis of circuits for approximate computingVenkatesan, Rangharajan ; Agarwal, Amit ; Roy, Kaushik ; Raghunathan, Anand2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2011, p.667-673IEEE PressTexto completo disponível |
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2 |
Material Type: Ata de Congresso
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DWM-TAPESTRI - an energy efficient all-spin cache using domain wall shift based writesVenkatesan, Rangharajan ; Sharad, Mrigank ; Roy, Kaushik ; Raghunathan, Anand2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, p.1825-1830EDA ConsortiumTexto completo disponível |
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3 |
Material Type: Ata de Congresso
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Timeloop: A Systematic Approach to DNN Accelerator EvaluationParashar, Angshuman ; Raina, Priyanka ; Shao, Yakun Sophia ; Chen, Yu-Hsin ; Ying, Victor A. ; Mukkara, Anurag ; Venkatesan, Rangharajan ; Khailany, Brucek ; Keckler, Stephen W. ; Emer, Joel2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2019, p.304-315IEEESem texto completo |
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4 |
Material Type: Artigo
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Spin-Transfer Torque Memories: Devices, Circuits, and SystemsFong, Xuanyao ; Kim, Yusung ; Venkatesan, Rangharajan ; Choday, Sri Harsha ; Raghunathan, Anand ; Roy, KaushikProceedings of the IEEE, 2016-07, Vol.104 (7), p.1449-1488 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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5 |
Material Type: Ata de Congresso
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DyReCTape: a dynamically reconfigurable cache using domain wall memory tapesRanjan, Ashish ; Ramasubramanian, Shankar ; Venkatesan, Rangharajan ; Pai, Vijay ; Roy, Kaushik ; Raghunathan, Anand2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015, p.181-186EDA ConsortiumTexto completo disponível |
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6 |
Material Type: Ata de Congresso
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SCNN: An accelerator for compressed-sparse convolutional neural networksParashar, Angshuman ; Minsoo Rhu ; Mukkara, Anurag ; Puglielli, Antonio ; Venkatesan, Rangharajan ; Khailany, Brucek ; Emer, Joel ; Keckler, Stephen W. ; Dally, William J.2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.27-40ACMSem texto completo |
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7 |
Material Type: Artigo
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Accelerating Chip Design With Machine LearningKhailany, Brucek ; Ren, Haoxing ; Dai, Steve ; Godil, Saad ; Keller, Ben ; Kirby, Robert ; Klinefelter, Alicia ; Venkatesan, Rangharajan ; Zhang, Yanqing ; Catanzaro, Bryan ; Dally, William J.IEEE MICRO, 2020-11, Vol.40 (6), p.23-32 [Periódico revisado por pares]IEEETexto completo disponível |
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8 |
Material Type: Artigo
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A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nmZimmer, Brian ; Venkatesan, Rangharajan ; Shao, Yakun Sophia ; Clemons, Jason ; Fojtik, Matthew ; Jiang, Nan ; Keller, Ben ; Klinefelter, Alicia ; Pinckney, Nathaniel ; Raina, Priyanka ; Tell, Stephen G. ; Zhang, Yanqing ; Dally, William J. ; Emer, Joel S. ; Gray, C. Thomas ; Keckler, Stephen W. ; Khailany, BrucekIEEE journal of solid-state circuits, 2020-04, Vol.55 (4), p.920-932 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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9 |
Material Type: Ata de Congresso
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Efficient Transformer Inference with Statically Structured Sparse AttentionDai, Steve ; Genc, Hasan ; Venkatesan, Rangharajan ; Khailany, Brucek2023 60th ACM/IEEE Design Automation Conference (DAC), 2023, p.1-6IEEESem texto completo |
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10 |
Material Type: Artigo
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A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nmKeller, Ben ; Venkatesan, Rangharajan ; Dai, Steve ; Tell, Stephen G. ; Zimmer, Brian ; Sakr, Charbel ; Dally, William J. ; Gray, C. Thomas ; Khailany, BrucekIEEE journal of solid-state circuits, 2023-04, Vol.58 (4), p.1-13 [Periódico revisado por pares]New York: IEEETexto completo disponível |