Nishil Talati

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Sequence Analysis

Discovering Frequent

Top Venues

Proc. VLDB Endow.

Publications

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
QUETZAL: Vector Acceleration Framework for Modern Genome Sequence Analysis Algorithms. ISCA (2024)
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. CoRR (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. Proc. VLDB Endow. 17 (2) (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. 17 (3) (2023)
Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. ISLPED (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR (2023)
Yuhan Chen, Alireza Khadem, Xin He, Nishil Talati, Tanvir Ahmed Khan, Trevor N. Mudge
PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows. DATE (2023)
Yichen Yang, Jingtao Li, Nishil Talati, Subhankar Pal, Siying Feng, Chaitali Chakrabarti, Trevor N. Mudge, Ronald G. Dreslinski
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher. CoRR (2023)
Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
Vector-Processing for Mobile Devices: Benchmark and Analysis. IISWC (2023)
Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das
Vector-Processing for Mobile Devices: Benchmark and Analysis. CoRR (2023)
Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems. PACT (2022)
Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski
NDMiner: accelerating graph pattern mining using near data processing. ISCA (2022)
Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
Mint: An Accelerator For Mining Temporal Motifs. MICRO (2022)
Heewoo Kim, Aporva Amarnath, Javad Bagherzadeh, Nishil Talati, Ronald G. Dreslinski
A Survey Describing Beyond Si Transistors and Exploring Their Implications for Future Processors. ACM J. Emerg. Technol. Comput. Syst. 17 (3) (2021)
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
Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design. HPCA (2021)
Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. IISWC (2021)
Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski
CoPTA: Contiguous Pattern Speculating TLB Architecture. SAMOS (2020)
Nishil Talati, Heonjae Ha, Ben Perach, Ronny Ronen, Shahar Kvatinsky
CONCEPT: A Column-Oriented Memory Controller for Efficient Memory and PIM Operations in RRAM. IEEE Micro 39 (1) (2019)
Nishil Talati, Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky
Practical challenges in delivering the promises of real processing-in-memory machines. DATE (2018)
Nishil Talati, Zhiying Wang, Shahar Kvatinsky
Rate-compatible and high-throughput architecture designs for encoding LDPC codes. ISCAS (2017)
Rotem Ben Hur, Nimrod Wald, Nishil Talati, Shahar Kvatinsky
Simple magic: Synthesis and in-memory Mapping of logic execution for memristor-aided logic. ICCAD (2017)
John Reuben, Rotem Ben Hur, Nimrod Wald, Nishil Talati, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky
Memristive logic: A framework for evaluation and comparison. PATMOS (2017)
Pravin Mane, Nishil Talati, Ameya Riswadkar, Bhavan Jasani, C. K. Ramesha
Implementation of NOR Logic Based on Material Implication on CMOL FPGA Architecture. VLSI Design (2015)
Pravin Mane, Nishil Talati, Ameya Riswadkar, Ramesh Raghu, C. K. Ramesha
Stateful-NOR based reconfigurable architecture for logic implementation. Microelectron. J. 46 (6) (2015)