Vivek Seshadri

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Spatial Locality

Indian Languages

Machine Learning

Top Venues

Publications

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 (2024)
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. FAccT (2024)
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)
Varun Gumma, Rishav Hada, Aditya Yadavalli, Pamir Gogoi, Ishani Mondal, Vivek Seshadri, Kalika Bali
MunTTS: A Text-to-Speech System for Mundari. CoRR (2024)
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 (2024)
Deepanjali Mishra, Konstantinos Kanellopoulos, Ashish Panwar, Akshitha Sriraman, Vivek Seshadri, Onur Mutlu, Todd C. Mowry
Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management. IEEE Comput. Archit. Lett. 23 (1) (2024)
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 (2023)
Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma
MinUn: Accurate ML Inference on Microcontrollers. LCTES (2023)
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. ACL (Findings) (2023)
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 (2022)
Shikhar Jaiswal, Rahul Kiran Kranti Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma
MinUn: Accurate ML Inference on Microcontrollers. CoRR (2022)
Rama Adithya Varanasi, Divya Siddarth, Vivek Seshadri, Kalika Bali, Aditya Vashistha
Feeling Proud, Feeling Embarrassed: Experiences of Low-income Women with Crowd Work. CHI (2022)
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 (2022)
Ziqi Wang, Chul-Hwan Choo, Michael A. Kozuch, Todd C. Mowry, Gennady Pekhimenko, Vivek Seshadri, Dimitrios Skarlatos
NVOverlay: Enabling Efficient and Scalable High-Frequency Snapshotting to NVM. ISCA (2021)
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. FPL (2021)
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 (2021)
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)
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
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech (2021)
Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. CoRR (2021)
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)
Aayan Kumar, Vivek Seshadri, Rahul Sharma
Shiftry: RNN inference in 2KB of RAM. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
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)
Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo Francisco de Oliveira Jr., Jonathan Appavoo, Vivek Seshadri, Onur Mutlu
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. CoRR (2020)
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 (2019)
Ziqi Wang, Michael A. Kozuch, Todd C. Mowry, Vivek Seshadri
Multiversioned Page Overlays: Enabling Faster Serializable Hardware Transactional Memory. PACT (2019)
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
Compiling KB-sized machine learning models to tiny IoT devices. PLDI (2019)
Manu Chopra, Indrani Medhi-Thies, Joyojeet Pal, Colin Scott, William Thies, Vivek Seshadri
Exploring Crowdsourced Work in Low-Resource Settings. CHI (2019)
Vivek Seshadri, Onur Mutlu
In-DRAM Bulk Bitwise Execution Engine. CoRR (2019)
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)
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)
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 (2018)
Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu
Exploiting the DRAM Microarchitecture to Increase Memory-Level Parallelism. CoRR (2018)
Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu
Tiered-Latency DRAM: Enabling Low-Latency Main Memory at Low Cost. CoRR (2018)
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 (2018)
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 (2018)
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 (2018)
Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu
Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems. CoRR (2018)
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)
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) (2017)
Vivek Seshadri, Onur Mutlu
Chapter Four - Simple Operations in Memory to Reduce Data Movement. Adv. Comput. 106 (2017)
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)
Hasan Hassan, Gennady Pekhimenko, Nandita Vijaykumar, Vivek Seshadri, Donghyuk Lee, Oguz Ergin, Onur Mutlu
ChargeCache: Reducing DRAM latency by exploiting row access locality. HPCA (2016)
Donghyuk Lee, Yoongu Kim, Gennady Pekhimenko, Samira Manabi Khan, Vivek Seshadri, Kevin Kai-Wei Chang, Onur Mutlu
Adaptive-Latency DRAM (AL-DRAM). CoRR (2016)
Vivek Seshadri, Onur Mutlu
The Processing Using Memory Paradigm: In-DRAM Bulk Copy, Initialization, Bitwise AND and OR. CoRR (2016)
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) (2016)
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 (2016)
Vivek Seshadri
Simple DRAM and Virtual Memory Abstractions to Enable Highly Efficient Memory Systems. CoRR (2016)
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 (2016)
Donghyuk Lee, Yoongu Kim, Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu
Tiered-Latency DRAM (TL-DRAM). CoRR (2016)
Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri, Harsha Rastogi, Onur Mutlu
The Blacklisting Memory Scheduler: Balancing Performance, Fairness and Complexity. CoRR (2015)
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)
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)
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)
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
Fast Bulk Bitwise AND and OR in DRAM. IEEE Comput. Archit. Lett. 14 (2) (2015)
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)
Lavanya Subramanian, Donghyuk Lee, Vivek Seshadri, Harsha Rastogi, Onur Mutlu
The Blacklisting Memory Scheduler: Achieving high performance and fairness at low cost. ICCD (2014)
Vivek Seshadri, Abhishek Bhowmick, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry
The Dirty-Block Index. ISCA (2014)
Vivek Seshadri, Samihan Yedkar, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry
Mitigating Prefetcher-Caused Pollution Using Informed Caching Policies for Prefetched Blocks. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry
Linearly compressed pages: a low-complexity, low-latency main memory compression framework. MICRO (2013)
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)
Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu
MISE: Providing performance predictability and improving fairness in shared main memory systems. HPCA (2013)
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)
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)
Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu
A case for exploiting subarray-level parallelism (SALP) in DRAM. ISCA (2012)
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)