Nishil Talati

54 papers A* 9A 4B 1C 1Misc 1Journal 28Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models.
ASPLOS (1)
Yuchen Xia, Divyam Sharma, Yichao Yuan, Souvik Kundu, Nishil Talati
2025 J jnl
DX100: A Programmable Data Access Accelerator for Indirection.
CoRR
Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu, Akash Poptani, Yufeng Gu, Jered Benjamin Dominguez-Trujillo, Nishil Talati, Daichi Fujiki, Scott A. Mahlke, Galen M. Shipman, Reetuparna Das
2025 A* conf
DX100: Programmable Data Access Accelerator for Indirection.
ISCA
Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu, Akash Poptani, Yufeng Gu, Jered Benjamin Dominguez-Trujillo, Nishil Talati, Daichi Fujiki, Scott A. Mahlke, Galen M. Shipman, Reetuparna Das
2025 J jnl
GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2.
CoRR
Savini Kashmira, Jayanaka L. Dantanarayana, Thamirawaran Sathiyalogeswaran, Yichao Yuan, Nishil Talati, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 J jnl
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining.
CoRR
Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati
2025 J jnl
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining.
Proc. VLDB Endow.
Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati
2025 J jnl
MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models.
CoRR
Yuchen Xia, Divyam Sharma, Yichao Yuan, Souvik Kundu, Nishil Talati
2025 J jnl
MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints.
CoRR
Yichao Yuan, Lin Ma, Nishil Talati
2025 A* conf
Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing.
HPCA
Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2025 J jnl
Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing.
CoRR
Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2025 A* conf
NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly.
ISCA
Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2025 J jnl
NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly.
CoRR
Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2025 A* conf
Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design.
HPCA
Haojie Ye, Yuchen Xia, Yuhan Chen, Kuan-Yu Chen, Yichao Yuan, Shuwen Deng, Baris Kasikci, Trevor N. Mudge, Nishil Talati
2025 J jnl
Sphinx: Efficiently Serving Novel View Synthesis using Regression-Guided Selective Refinement.
CoRR
Yuchen Xia, Souvik Kundu, Mosharaf Chowdhury, Nishil Talati
2025 J jnl
TIMEST: Temporal Information Motif Estimator Using Sampling Trees.
CoRR
Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati
2025 J jnl
TIMEST: Temporal Information Motif Estimator Using Sampling Trees.
Proc. VLDB Endow.
Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati
2025 J jnl
Triadic First-Order Logic Queries in Temporal Networks.
CoRR
Omkar Bhalerao, Yunjie Pan, C. Seshadhri, Nishil Talati
2025 J jnl
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics.
CoRR
Yichao Yuan, Advait Iyer, Lin Ma, Nishil Talati
2025 — conf
ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs.
IISWC
Tarunesh Verma, Yichao Yuan, Nishil Talati, Todd M. Austin
2025 J jnl
ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs.
CoRR
Tarunesh Verma, Yichao Yuan, Nishil Talati, Todd M. Austin
2024 A* conf
Accurate and Fast Estimation of Temporal Motifs Using Path Sampling.
ICDM
Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati
2024 J jnl
Accurate and Fast Estimation of Temporal Motifs using Path Sampling.
CoRR
Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati
2024 J jnl
Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication.
ACM Trans. Reconfigurable Technol. Syst.
Kuan-Yu Chen, Thomas Mason Nelson, Alireza Khadem, Morteza Fayazi, Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati, Hun-Seok Kim, David T. Blaauw
2024 J jnl
Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design.
CoRR
Haojie Ye, Yuchen Xia, Yuhan Chen, Kuan-Yu Chen, Yichao Yuan, Shuwen Deng, Baris Kasikci, Trevor N. Mudge, Nishil Talati
2024 A* conf
QUETZAL: Vector Acceleration Framework for Modern Genome Sequence Analysis Algorithms.
ISCA
Julian Pavon, Iván Vargas Valdivieso, Carlos Rojas, César Hernández, Mehmet Aslan, Roger Figueras, Yichao Yuan, Joël Lindegger, Mohammed Alser, Francesc Moll, Santiago Marco-Sola, Oguz Ergin, Nishil Talati, Onur Mutlu, Osman S. Unsal, Mateo Valero, Adrián Cristal
2024 — conf
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning.
IISWC
Yuchen Xia, Jiho Kim, Yuhan Chen, Haojie Ye, Souvik Kundu, Cong Callie Hao, Nishil Talati
2024 J jnl
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning.
CoRR
Yuchen Xia, Jiho Kim, Yuhan Chen, Haojie Ye, Souvik Kundu, Cong Hao, Nishil Talati
2024 J jnl
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics.
Proc. VLDB Endow.
Yichao Yuan, Advait Iyer, Lin Ma, Nishil Talati
2023 J jnl
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher.
CoRR
Yichen Yang, Jingtao Li, Nishil Talati, Subhankar Pal, Siying Feng, Chaitali Chakrabarti, Trevor N. Mudge, Ronald G. Dreslinski
2023 J jnl
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.
CoRR
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023 J jnl
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.
Proc. VLDB Endow.
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023 J jnl
Everest: GPU-Accelerated System For Mining Temporal Motifs.
CoRR
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
2023 J jnl
Everest: GPU-Accelerated System For Mining Temporal Motifs.
Proc. VLDB Endow.
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
2023 — conf
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.
ASPLOS (3)
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023 A conf
PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows.
DATE
Yuhan Chen, Alireza Khadem, Xin He, Nishil Talati, Tanvir Ahmed Khan, Trevor N. Mudge
2023 A conf
RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models.
ISLPED
Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2023 — conf
Vector-Processing for Mobile Devices: Benchmark and Analysis.
IISWC
Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2023 J jnl
Vector-Processing for Mobile Devices: Benchmark and Analysis.
CoRR
Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
2022 B conf
Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems.
PACT
Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
2022 A* conf
Mint: An Accelerator For Mining Temporal Motifs.
MICRO
Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
2022 A* conf
NDMiner: accelerating graph pattern mining using near data processing.
ISCA
Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski
2022 — —
Optimizing Emerging Graph Applications Using Hardware-Software Co-Design
Nishil Talati
2021 — conf
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning.
IISWC
Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski
2021 J jnl
A Survey Describing Beyond Si Transistors and Exploring Their Implications for Future Processors.
ACM J. Emerg. Technol. Comput. Syst.
Heewoo Kim, Aporva Amarnath, Javad Bagherzadeh, Nishil Talati, Ronald G. Dreslinski
2021 A* conf
Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design.
HPCA
Nishil Talati, Kyle May, Armand Behroozi, Yichen Yang, Kuba Kaszyk, Christos Vasiladiotis, Tarunesh Verma, Lu Li, Brandon Nguyen, Jiawen Sun, John Magnus Morton, Agreen Ahmadi, Todd M. Austin, Michael F. P. O'Boyle, Scott A. Mahlke, Trevor N. Mudge, Ronald G. Dreslinski
2020 — conf
CoPTA: Contiguous Pattern Speculating TLB Architecture.
SAMOS
Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski
2019 — ch.
A Taxonomy and Evaluation Framework for Memristive Logic.
Handbook of Memristor Networks
John Reuben, Nishil Talati, Nimrod Wald, Rotem Ben Hur, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky
2019 J jnl
CONCEPT: A Column-Oriented Memory Controller for Efficient Memory and PIM Operations in RRAM.
IEEE Micro
Nishil Talati, Heonjae Ha, Ben Perach, Ronny Ronen, Shahar Kvatinsky
2018 A conf
Practical challenges in delivering the promises of real processing-in-memory machines.
DATE
Nishil Talati, Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky
2017 — conf
Memristive logic: A framework for evaluation and comparison.
PATMOS
John Reuben, Rotem Ben Hur, Nimrod Wald, Nishil Talati, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky
2017 C conf
Rate-compatible and high-throughput architecture designs for encoding LDPC codes.
ISCAS
Nishil Talati, Zhiying Wang, Shahar Kvatinsky
2017 A conf
Simple magic: Synthesis and in-memory Mapping of logic execution for memristor-aided logic.
ICCAD
Rotem Ben Hur, Nimrod Wald, Nishil Talati, Shahar Kvatinsky
2015 Misc conf
Implementation of NOR Logic Based on Material Implication on CMOL FPGA Architecture.
VLSID
Pravin Mane, Nishil Talati, Ameya Riswadkar, Bhavan Jasani, C. K. Ramesha
2015 J jnl
Stateful-NOR based reconfigurable architecture for logic implementation.
Microelectron. J.
Pravin Mane, Nishil Talati, Ameya Riswadkar, Ramesh Raghu, C. K. Ramesha