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Vivek Seshadri
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2020 – today
- 2024
- [j7]Deepanjali Mishra
, Konstantinos Kanellopoulos
Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management. IEEE Comput. Archit. Lett. 23(1): 69-72 (2024) - [c33]Harshita Diddee, Anurag Shukla, Tanuja Ganu, Vivek Seshadri, Sandipan Dandapat, Monojit Choudhury, Kalika Bali:
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation. LREC/COLING 2024: 9097-9109 - [c32]Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram:
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. EMNLP 2024: 7900-7932 - [c31]Rishav Hada
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. FAccT 2024: 1926-1939 - [i26]Varun Gumma, Rishav Hada, Aditya Yadavalli, Pamir Gogoi, Ishani Mondal, Vivek Seshadri, Kalika Bali:
MunTTS: A Text-to-Speech System for Mundari. CoRR abs/2401.15579 (2024) - [i25]Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali:
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. CoRR abs/2405.06346 (2024) - [i24]Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram:
PARIKSHA : A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. CoRR abs/2406.15053 (2024) - 2023
- [c30]Mehrad Moradshahi, Tianhao Shen
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. ACL (Findings) 2023: 2773-2794 - [c29]Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma:
MinUn: Accurate ML Inference on Microcontrollers. LCTES 2023: 26-39 - [i23]Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gaël de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam:
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. CoRR abs/2306.17674 (2023) - 2022
- [c28]Rama Adithya Varanasi
Feeling Proud, Feeling Embarrassed: Experiences of Low-income Women with Crowd Work. CHI 2022: 298:1-298:18 - [i22]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Ruchi Khapra, Vivek Seshadri, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Towards building open transliteration tools for the next billion users. CoRR abs/2205.03018 (2022) - [i21]Ritesh Kumar, Siddharth Singh, Shyam Ratan, Mohit Raj, Sonal Sinha, Bornini Lahiri, Vivek Seshadri, Kalika Bali, Atul Kr. Ojha:
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi. CoRR abs/2206.12931 (2022) - [i20]Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma:
MinUn: Accurate ML Inference on Microcontrollers. CoRR abs/2210.16556 (2022) - 2021
- [c27]Sebastin Santy, Kalika Bali, Monojit Choudhury, Sandipan Dandapat, Tanuja Ganu, Anurag Shukla, Jahanvi Shah, Vivek Seshadri:
Language Translation as a Socio-Technical System: Case-Studies of Mixed-Initiative Interactions. COMPASS 2021: 156-172 - [c26]Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. FPL 2021: 347-354 - [c25]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech 2021: 2446-2450 - [c24]Ziqi Wang
NVOverlay: Enabling Efficient and Scalable High-Frequency Snapshotting to NVM. ISCA 2021: 498-511 - [i19]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR abs/2104.00235 (2021) - [i18]Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. CoRR abs/2107.03653 (2021) - 2020
- [j6]Aayan Kumar, Vivek Seshadri, Rahul Sharma:
Shiftry: RNN inference in 2KB of RAM. Proc. ACM Program. Lang. 4(OOPSLA): 182:1-182:30 (2020) - [c23]Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu:
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. ISCA 2020: 1050-1063 - [c22]Basil Abraham, Danish Goel, Divya Siddarth, Kalika Bali, Manu Chopra, Monojit Choudhury, Pratik Joshi, Preethi Jyothi, Sunayana Sitaram, Vivek Seshadri:
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers. LREC 2020: 2819-2826 - [i17]Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu:
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. CoRR abs/2005.09748 (2020)
2010 – 2019
- 2019
- [c21]Ziqi Wang
Multiversioned Page Overlays: Enabling Faster Serializable Hardware Transactional Memory. PACT 2019: 395-408 - [c20]Manu Chopra, Indrani Medhi-Thies, Joyojeet Pal
Exploring Crowdsourced Work in Low-Resource Settings. CHI 2019: 381 - [c19]Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma:
Compiling KB-sized machine learning models to tiny IoT devices. PLDI 2019: 79-95 - [c18]Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia
PipeDream: generalized pipeline parallelism for DNN training. SOSP 2019: 1-15 - [c17]Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain:
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. UIST 2019: 403-415 - [i16]Lois Orosa, Yaohua Wang, Ivan Puddu, Mohammad Sadrosadati, Kaveh Razavi, Juan Gómez-Luna, Hasan Hassan, Nika Mansouri-Ghiasi, Arash Tavakkol, Minesh Patel, Jeremie S. Kim, Vivek Seshadri, Uksong Kang, Saugata Ghose, Rodolfo Azevedo, Onur Mutlu:
Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices. CoRR abs/1902.07344 (2019) - [i15]Vivek Seshadri, Onur Mutlu:
In-DRAM Bulk Bitwise Execution Engine. CoRR abs/1905.09822 (2019) - 2018
- [i14]Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu:
Exploiting the DRAM Microarchitecture to Increase Memory-Level Parallelism. CoRR abs/1805.01966 (2018) - [i13]Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Manabi Khan, Vivek Seshadri, Kevin K. Chang, Onur Mutlu:
Adaptive-Latency DRAM: Reducing DRAM Latency by Exploiting Timing Margins. CoRR abs/1805.03047 (2018) - [i12]Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu:
Tiered-Latency DRAM: Enabling Low-Latency Main Memory at Low Cost. CoRR abs/1805.03048 (2018) - [i11]Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
RowClone: Accelerating Data Movement and Initialization Using DRAM. CoRR abs/1805.03502 (2018) - [i10]Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu:
Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency. CoRR abs/1805.03969 (2018) - [i9]Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu:
Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems. CoRR abs/1805.05926 (2018) - [i8]Aaron Harlap, Deepak Narayanan, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons:
PipeDream: Fast and Efficient Pipeline Parallel DNN Training. CoRR abs/1806.03377 (2018) - 2017
- [j5]Vivek Seshadri, Onur Mutlu:
Chapter Four - Simple Operations in Memory to Reduce Data Movement. Adv. Comput. 106: 107-166 (2017) - [j4]Donghyuk Lee, Samira Manabi Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu:
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 26:1-26:36 (2017) - [c16]Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie S. Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry:
Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology. MICRO 2017: 273-287 - [c15]Donghyuk Lee, Samira Manabi Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu:
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms. SIGMETRICS (Abstracts) 2017: 54 - 2016
- [j3]Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri, Harsha Rastogi, Onur Mutlu:
BLISS: Balancing Performance, Fairness and Complexity in Memory Access Scheduling. IEEE Trans. Parallel Distributed Syst. 27(10): 3071-3087 (2016) - [c14]Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin
ChargeCache: Reducing DRAM latency by exploiting row access locality. HPCA 2016: 581-593 - [i7]Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu:
Tiered-Latency DRAM (TL-DRAM). CoRR abs/1601.06903 (2016) - [i6]Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Manabi Khan, Vivek Seshadri, Kevin Kai-Wei Chang, Onur Mutlu:
Adaptive-Latency DRAM (AL-DRAM). CoRR abs/1603.08454 (2016) - [i5]Vivek Seshadri:
Simple DRAM and Virtual Memory Abstractions to Enable Highly Efficient Memory Systems. CoRR abs/1605.06483 (2016) - [i4]Vivek Seshadri, Onur Mutlu:
The Processing Using Memory Paradigm: In-DRAM Bulk Copy, Initialization, Bitwise AND and OR. CoRR abs/1610.09603 (2016) - [i3]Donghyuk Lee, Samira Manabi Khan, Lavanya Subramanian, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Saugata Ghose, Onur Mutlu:
Reducing DRAM Latency by Exploiting Design-Induced Latency Variation in Modern DRAM Chips. CoRR abs/1610.09604 (2016) - [i2]Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie S. Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry:
Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM. CoRR abs/1611.09988 (2016) - 2015
- [j2]Vivek Seshadri, Kevin Hsieh
Fast Bulk Bitwise AND and OR in DRAM. IEEE Comput. Archit. Lett. 14(2): 127-131 (2015) - [c13]Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Manabi Khan, Vivek Seshadri, Kevin Kai-Wei Chang, Onur Mutlu:
Adaptive-latency DRAM: Optimizing DRAM timing for the common-case. HPCA 2015: 489-501 - [c12]Vivek Seshadri, Gennady Pekhimenko, Olatunji Ruwase, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry, Trishul M. Chilimbi:
Page overlays: an enhanced virtual memory framework to enable fine-grained memory management. ISCA 2015: 79-91 - [c11]Lavanya Subramanian, Vivek Seshadri, Arnab Ghosh, Samira Manabi Khan, Onur Mutlu:
The application slowdown model: quantifying and controlling the impact of inter-application interference at shared caches and main memory. MICRO 2015: 62-75 - [c10]Vivek Seshadri, Thomas Mullins, Amirali Boroumand, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Gather-scatter DRAM: in-DRAM address translation to improve the spatial locality of non-unit strided accesses. MICRO 2015: 267-280 - [i1]Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri, Harsha Rastogi, Onur Mutlu:
The Blacklisting Memory Scheduler: Balancing Performance, Fairness and Complexity. CoRR abs/1504.00390 (2015) - 2014
- [j1]Vivek Seshadri, Samihan Yedkar, Hongyi Xin
Mitigating Prefetcher-Caused Pollution Using Informed Caching Policies for Prefetched Blocks. ACM Trans. Archit. Code Optim. 11(4): 51:1-51:22 (2014) - [c9]Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri, Harsha Rastogi, Onur Mutlu:
The Blacklisting Memory Scheduler: Achieving high performance and fairness at low cost. ICCD 2014: 8-15 - [c8]Vivek Seshadri, Abhishek Bhowmick, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
The Dirty-Block Index. ISCA 2014: 157-168 - 2013
- [c7]Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu:
Tiered-latency DRAM: A low latency and low cost DRAM architecture. HPCA 2013: 615-626 - [c6]Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu:
MISE: Providing performance predictability and improving fairness in shared main memory systems. HPCA 2013: 639-650 - [c5]Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin
Linearly compressed pages: a low-complexity, low-latency main memory compression framework. MICRO 2013: 172-184 - [c4]Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization. MICRO 2013: 185-197 - 2012
- [c3]Vivek Seshadri, Onur Mutlu, Michael A. Kozuch, Todd C. Mowry:
The evicted-address filter: a unified mechanism to address both cache pollution and thrashing. PACT 2012: 355-366 - [c2]Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Base-delta-immediate compression: practical data compression for on-chip caches. PACT 2012: 377-388 - [c1]Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu:
A case for exploiting subarray-level parallelism (SALP) in DRAM. ISCA 2012: 368-379
Coauthor Index
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