Angshuman Parashar

41 papers A* 11A 3B 5Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
SquareLoop: Explore Optimal Authentication Block Strategy for ML.
HASP@MICRO
Jan Strzeszynski, Jianming Tong, Kyungmi Lee, Nathan Xiong, Angshuman Parashar, Joel S. Emer, Tushar Krishna, Mengjia Yan
2024 A* conf
Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms.
ISCA
Qijing Huang, Po-An Tsai, Joel S. Emer, Angshuman Parashar
2023 A* conf
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity.
MICRO
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023 J jnl
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity.
CoRR
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023 B conf
LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators.
ISPASS
Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2022 — conf
A Formalism of DNN Accelerator Flexibility.
SIGMETRICS (Abstracts)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
CoRR
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
Proc. ACM Meas. Anal. Comput. Syst.
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 — conf
Demystifying Map Space Exploration for NPUs.
IISWC
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022 J jnl
Demystifying Map Space Exploration for NPUs.
CoRR
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022 A conf
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.
DATE
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators.
CoRR
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity.
CoRR
Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna
2022 J jnl
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators.
ACM Trans. Archit. Code Optim.
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
2022 B conf
Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization.
ISPASS
Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi
2022 A* conf
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling.
MICRO
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2022 J jnl
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling.
CoRR
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2021 J jnl
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators.
IEEE Comput. Archit. Lett.
Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2021 J jnl
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search.
CoRR
Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021 A* conf
Mind mappings: enabling efficient algorithm-accelerator mapping space search.
ASPLOS
Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021 B conf
Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators.
ISPASS
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2021 B conf
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
PACT
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2021 J jnl
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators.
CoRR
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020 — book
Data Orchestration in Deep Learning Accelerators
Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Ananda Samajdar
2020 J jnl
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings.
IEEE Micro
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
2019 B conf
Timeloop: A Systematic Approach to DNN Accelerator Evaluation.
ISPASS
Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer
2019 A* conf
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach.
MICRO
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
2017 A* conf
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks.
ISCA
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
2017 J jnl
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks.
CoRR
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
2015 J jnl
Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures.
ACM Trans. Comput. Syst.
Michael Pellauer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy L. Allmon, Neal Clayton Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel S. Emer
2014 J jnl
Efficient Spatial Processing Element Control via Triggered Instructions.
IEEE Micro
Angshuman Parashar, Michael Pellauer, Michael Adler, Bushra Ahsan, Neal Clayton Crago, Daniel Lustig, Vladimir Pavlov, Antonia Zhai, Mohit Gambhir, Aamer Jaleel, Randy L. Allmon, Rachid Rayess, Stephen Maresh, Joel S. Emer
2013 — conf
A Hierarchical Architectural Framework for Reconfigurable Logic Computing.
IPDPS Workshops
Peng Li, Angshuman Parashar, Michael Pellauer, Tao Wang, Joel S. Emer
2013 A* conf
Triggered instructions: a control paradigm for spatially-programmed architectures.
ISCA
Angshuman Parashar, Michael Pellauer, Michael Adler, Bushra Ahsan, Neal Clayton Crago, Daniel Lustig, Vladimir Pavlov, Antonia Zhai, Mohit Gambhir, Aamer Jaleel, Randy L. Allmon, Rachid Rayess, Stephen Maresh, Joel S. Emer
2012 A conf
Leveraging latency-insensitivity to ease multiple FPGA design.
FPGA
Kermin Elliott Fleming, Michael Adler, Michael Pellauer, Angshuman Parashar, Arvind, Joel S. Emer
2011 A* conf
HAsim: FPGA-based high-detail multicore simulation using time-division multiplexing.
HPCA
Michael Pellauer, Michael Adler, Michel A. Kinsy, Angshuman Parashar, Joel S. Emer
2011 A conf
Leap scratchpads: automatic memory and cache management for reconfigurable logic.
FPGA
Michael Adler, Kermin Fleming, Angshuman Parashar, Michael Pellauer, Joel S. Emer
2007 A* conf
Mechanisms for bounding vulnerabilities of processor structures.
ISCA
Niranjan Soundararajan, Angshuman Parashar, Anand Sivasubramaniam
2006 A* conf
SlicK: slice-based locality exploitation for efficient redundant multithreading.
ASPLOS
Angshuman Parashar, Anand Sivasubramaniam, Sudhanva Gurumurthi
2004 A* conf
A Complexity-Effective Approach to ALU Bandwidth Enhancement for Instruction-Level Temporal Redundancy.
ISCA
Angshuman Parashar, Sudhanva Gurumurthi, Anand Sivasubramaniam
2004 J jnl
An uncalibrated lightfield acquisition system.
Image Vis. Comput.
Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra
2002 — conf
An Uncalibrated Lightfield Acquisition System.
ICVGIP
Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra