Implementation of NOR Logic Based on Material Implication on CMOL FPGA Architecture. - Pravin Mane; Nishil Talati; Ameya Riswadkar; Bhavan Jasani; C. K. Ramesha (VLSID, 2015)

Stateful-NOR based reconfigurable architecture for logic implementation. - Pravin Mane; Nishil Talati; Ameya Riswadkar; Ramesh Raghu; C. K. Ramesha (Microelectron. J., 2015)

Simple magic: Synthesis and in-memory Mapping of logic execution for memristor-aided logic. - Rotem Ben Hur; Nimrod Wald; Nishil Talati; Shahar Kvatinsky (ICCAD, 2017)

Rate-compatible and high-throughput architecture designs for encoding LDPC codes. - Nishil Talati; Zhiying Wang 001; Shahar Kvatinsky (ISCAS, 2017)

Memristive logic: A framework for evaluation and comparison. - John Reuben; Rotem Ben Hur; Nimrod Wald; Nishil Talati; Ameer Haj Ali; Pierre-Emmanuel Gaillardon; Shahar Kvatinsky (PATMOS, 2017)

Practical challenges in delivering the promises of real processing-in-memory machines. - Nishil Talati; Ameer Haj Ali; Rotem Ben Hur; Nimrod Wald; Ronny Ronen; Pierre-Emmanuel Gaillardon; Shahar Kvatinsky (DATE, 2018)

A Taxonomy and Evaluation Framework for Memristive Logic. - John Reuben; Nishil Talati; Nimrod Wald; Rotem Ben Hur; Ameer Haj Ali; Pierre-Emmanuel Gaillardon; Shahar Kvatinsky (Handbook of Memristor Networks, 2019)

CONCEPT: A Column-Oriented Memory Controller for Efficient Memory and PIM Operations in RRAM. - Nishil Talati; Heonjae Ha; Ben Perach; Ronny Ronen; Shahar Kvatinsky (IEEE Micro, 2019)

CoPTA: Contiguous Pattern Speculating TLB Architecture. - Yichen Yang 005; Haojie Ye; Yuhan Chen; Xueyang Liu; Nishil Talati; Xin He; Trevor N. Mudge; Ronald G. Dreslinski (SAMOS, 2020)

Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design. - Nishil Talati; Kyle May; Armand Behroozi; Yichen Yang 005; Kuba Kaszyk; Christos Vasiladiotis; Tarunesh Verma; Lu Li; Brandon Nguyen; Jiawen Sun; John Magnus Morton; Agreen Ahmadi; et al. (HPCA, 2021)

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. - Nishil Talati; Di Jin 003; Haojie Ye; Ajay Brahmakshatriya; Ganesh S. Dasika; Saman P. Amarasinghe; Trevor N. Mudge; Danai Koutra; Ronald G. Dreslinski (IISWC, 2021)

A Survey Describing Beyond Si Transistors and Exploring Their Implications for Future Processors. - Heewoo Kim; Aporva Amarnath; Javad Bagherzadeh; Nishil Talati; Ronald G. Dreslinski (ACM J. Emerg. Technol. Comput. Syst., 2021)

Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems. - Leul Belayneh; Haojie Ye; Kuan-Yu Chen 001; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski; Nishil Talati (PACT, 2022)

NDMiner: accelerating graph pattern mining using near data processing. - Nishil Talati; Haojie Ye; Yichen Yang 005; Leul Belayneh; Kuan-Yu Chen 001; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski (ISCA, 2022)

Mint: An Accelerator For Mining Temporal Motifs. - Nishil Talati; Haojie Ye; Sanketh Vedula; Kuan-Yu Chen 001; Yuhan Chen; Daniel Liu; Yichao Yuan; David T. Blaauw; Alex M. Bronstein; Trevor N. Mudge; Ronald G. Dreslinski (MICRO, 2022)

Optimizing Emerging Graph Applications Using Hardware-Software Co-Design - Nishil Talati (2022)

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. - Haojie Ye; Sanketh Vedula; Yuhan Chen; Yichen Yang 005; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (ASPLOS (3), 2023)

PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows. - Yuhan Chen; Alireza Khadem; Xin He; Nishil Talati; Tanvir Ahmed Khan; Trevor N. Mudge (DATE, 2023)

Vector-Processing for Mobile Devices: Benchmark and Analysis. - Alireza Khadem; Daichi Fujiki; Nishil Talati; Scott A. Mahlke; Reetuparna Das (IISWC, 2023)

RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. - Heewoo Kim; Haojie Ye; Trevor N. Mudge; Ronald G. Dreslinski; Nishil Talati (ISLPED, 2023)

Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher. - Yichen Yang 005; Jingtao Li; Nishil Talati; Subhankar Pal; Siying Feng; Chaitali Chakrabarti; Trevor N. Mudge; Ronald G. Dreslinski (CoRR, 2023)

Everest: GPU-Accelerated System For Mining Temporal Motifs. - Yichao Yuan; Haojie Ye; Sanketh Vedula; Wynn Kaza; Nishil Talati (Proc. VLDB Endow., 2023)

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. - Yuhan Chen; Haojie Ye; Sanketh Vedula; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (Proc. VLDB Endow., 2023)

Accurate and Fast Estimation of Temporal Motifs Using Path Sampling. - Yunjie Pan; Omkar Bhalerao; C. Seshadhri 001; Nishil Talati (ICDM, 2024)

Understanding the Performance and Estimating the Cost of LLM Fine-Tuning. - Yuchen Xia; Jiho Kim; Yuhan Chen; Haojie Ye; Souvik Kundu 002; Cong Callie Hao; Nishil Talati (IISWC, 2024)

QUETZAL: Vector Acceleration Framework for Modern Genome Sequence Analysis Algorithms. - 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; et al. (ISCA, 2024)

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics. - Yichao Yuan; Advait Iyer; Lin Ma; Nishil Talati (Proc. VLDB Endow., 2024)

Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication. - Kuan-Yu Chen 001; Thomas Mason Nelson; Alireza Khadem; Morteza Fayazi; Sanjay Sri Vallabh Singapuram; Ronald G. Dreslinski; Nishil Talati; Hun-Seok Kim; David T. Blaauw (ACM Trans. Reconfigurable Technol. Syst., 2024)

Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing. - Alireza Khadem; Daichi Fujiki; Hilbert Chen; Yufeng Gu; Nishil Talati; Scott A. Mahlke; Reetuparna Das (HPCA, 2025)

Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design. - Haojie Ye; Yuchen Xia; Yuhan Chen; Kuan-Yu Chen 001; Yichao Yuan; Shuwen Deng; Baris Kasikci; Trevor N. Mudge; Nishil Talati (HPCA, 2025)

DX100: Programmable Data Access Accelerator for Indirection. - 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 (ISCA, 2025)

NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly. - Heewoo Kim; Sanjay Sri Vallabh Singapuram; Haojie Ye; Joseph Izraelevitz; Trevor N. Mudge; Ronald G. Dreslinski; Nishil Talati (ISCA, 2025)

MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models. - Yuchen Xia; Divyam Sharma; Yichao Yuan; Souvik Kundu 002; Nishil Talati (CoRR, 2025)

MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints. - Yichao Yuan; Lin Ma; Nishil Talati (CoRR, 2025)

Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining. - Sanjay Sri Vallabh Singapuram; Ronald G. Dreslinski; Nishil Talati (CoRR, 2025)

Triadic First-Order Logic Queries in Temporal Networks. - Omkar Bhalerao; Yunjie Pan; C. Seshadhri 001; Nishil Talati (CoRR, 2025)

TIMEST: Temporal Information Motif Estimator Using Sampling Trees. - Yunjie Pan; Omkar Bhalerao; C. Seshadhri 001; Nishil Talati (CoRR, 2025)