Search Results - "Srinivasan, Viji"

Exploiting approximate computing for deep learning acceleration by Chen, Chia-Yu, Choi, Jungwook, Gopalakrishnan, Kailash, Srinivasan, Viji, Venkataramani, Swagath

“…Deep Neural Networks (DNNs) have emerged as a powerful and versatile set of techniques to address challenging artificial intelligence (AI) problems…”
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Integrated analysis of power and performance for pipelined microprocessors by Zyuban, V., Brooks, D., Viji Srinivasan, Gschwind, M., Pradip Bose, Strenski, P.N., Emma, P.G.

“…Choosing the pipeline depth of a microprocessor is one of the most critical design decisions that an architect must make in the concept phase of a…”
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A prefetch taxonomy by Viji Srinivasan, Davidson, E.S., Tyson, G.S.

“…The growing difference between processor and main memory cycle time demands the use of aggressive prefetch algorithms to reduce the effective memory access…”
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Message from the Program Chairs

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Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC by Kar, Monodeep, Silberman, Joel, Venkataramani, Swagath, Srinivasan, Viji, Fleischer, Bruce, Rubin, Joshua, Lancaster, JohnDavid, Lee, Saekyu, Cohen, Matthew, Ziegler, Matthew, Cao, Nianzheng, Woodward, Sandra, Agrawal, Ankur, Zhou, Ching, Chatarasi, Prasanth, Gooding, Thomas, Guillorn, Michael, Hekmatshoartabari, Bahman, Jacob, Philip, Jain, Radhika, Jain, Shubham, Jung, Jinwook, Kim, Kyu-Hyoun, Koswatta, Siyu, Lutz, Martin, Mannari, Alberto, Mathew, Abey K., Nair, Indira, Ranjan, Ashish, Ren, Zhibin, Rider, Scot, Rower, Thomas, Satterfield, David, Schaal, Marcel, Sen, Sanchari, Tellez, Gustavo, Tran, Hung, Wang, Wei, Zalani, Vidhi, Zhang, Jintao, Zhang, Xin, Shah, Vinay, Senger, Robert, Kumar, Arvind, Lu, Pong-Fei, Chang, Leland

“…Discrete AI inference cards, operating under form-factor and system-defined peak power constraints, must serve diverse inference requests with widely varying…”
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Microarchitectural techniques for power gating of execution units by Hu, Zhigang, Buyuktosunoglu, Alper, Srinivasan, Viji, Zyuban, Victor, Jacobson, Hans, Bose, Pradip

“…Leakage power is a major concern in current and future microprocessor designs. In this paper, we explore the potential of architectural techniques to reduce…”
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14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC by Kar, Monodeep, Silberman, Joel, Venkataramani, Swagath, Srinivasan, Viji, Fleischer, Bruce, Rubin, Joshua, Lancaster, JohnDavid, Lee, Saekyu, Cohen, Matthew, Ziegler, Matthew, Cao, Nianzheng, Woodward, Sandra, Agrawal, Ankur, Zhou, Ching, Chatarasi, Prasanth, Gooding, Thomas, Guillorn, Michael, Hekmatshoartabari, Bahman, Jacob, Philip, Jain, Radhika, Jain, Shubham, Jung, Jinwook, Kim, Kyu-Hyoun, Koswatta, Siyu, Lutz, Martin, Mannari, Alberto, Mathew, Abey, Nair, Indira, Ranjan, Ashish, Ren, Zhibin, Rider, Scot, Roewer, Thomas, Satterfield, David, Schaal, Marcel, Sen, Sanchari, Tellez, Gustavo, Tran, Hung, Wang, Wei, Zalani, Vidhi, Zhang, Jintao, Zhang, Xin, Shah, Vinay, Senger, Robert, Kumar, Arvind, Lu, Pong-Fei, Chang, Leland

“…The rapid emergence of AI models, specifically large language models (LLMs) requiring large amounts of compute, drives the need for dedicated AI inference…”
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Efficient scrub mechanisms for error-prone emerging memories by Awasthi, M., Shevgoor, M., Sudan, K., Rajendran, B., Balasubramonian, R., Srinivasan, V.

“…Many memory cell technologies are being considered as possible replacements for DRAM and Flash technologies, both of which are nearing their scaling limits…”
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Invited: Accelerator design for deep learning training by Agrawal, Ankur, Chia-Yu Chen, Jungwook Choi, Gopalakrishnan, Kailash, Jinwook Oh, Shukla, Sunil, Srinivasan, Viji, Venkataramani, Swagath, Wei Zhang

“…Deep Neural Networks (DNNs) have emerged as a powerful and versatile set of techniques showing successes on challenging artificial intelligence (AI) problems…”
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Efficient Management of Scratch-Pad Memories in Deep Learning Accelerators by Pal, Subhankar, Venkataramani, Swagath, Srinivasan, Viji, Gopalakrishnan, Kailash

“…A prevalent challenge for Deep Learning (DL) accelerators is how they are programmed to sustain utilization without impacting end-user productivity. Little…”
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Optimizing pipelines for power and performance by Srinivasan, V., Brooks, D., Gschwind, M., Bose, P., Zyuban, V., Strenski, P.N., Emma, P.G.

“…During the concept phase and definition of next generation high-end processors, power and performance will need to be weighted appropriately to deliver…”
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Leadership Training Program Course for Slum Women to Prepare Them to Run Nutrition Education Classes for Other Women in Their Neighbourhood by Srinivasan, Viji

“…A training course about nutrition and immunization for the people of a poor section in Madras was developed by the Community Development project. It was felt…”
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LEADERSHIP TRAINING COURSE FOR SLUM WOMEN TO PREPARE THEM TO RUN NUTRITION EDUCATION CLASSES FOR OTHER WOMEN IN THEIR NEIGHBOURHOOD by Srinivasan, Viji

“…An account of the experiences of "Nava Nirmana," a community welfare org in Madras, in establishing & conducting a training course designed to teach local…”
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Optimizing pipelines for power and performance by Srinivasan, Viji, Brooks, David, Gschwind, Michael, Bose, Pradip, Zyuban, Victor, Strenski, Philip N., Emma, Philip G.

“…During the concept phase and definition of next generation high-end processors, power and performance will need to be weighted appropriately to deliver…”
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