Narasinga Rao Miniskar

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter
MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). WAMTA (2024)
Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter
IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA (2024)
Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter
IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) (2024)
Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter
Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP (2023)
Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter
A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS (2023)
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR (2023)
Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Y. Liu, Jeffrey S. Vetter
IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. HPEC (2023)
Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops (2023)
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS (2023)
Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC (2023)
Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter
Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL (2022)
Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter
Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC (2022)
Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Frank Y. Liu, Jeffrey S. Vetter, Pedro Valero-Lara
LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS. RSDHA@SC (2022)
Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frankie Y. Liu, Jeffrey S. Vetter
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC (2022)
Anthony M. Cabrera, Seth Hitefield, Jungwon Kim, Seyong Lee, Narasinga Rao Miniskar, Jeffrey S. Vetter
Toward Performance Portable Programming for Heterogeneous Systems on a Chip: A Case Study with Qualcomm Snapdragon SoC. HPEC (2021)
Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC (2021)
Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter
A Memory Efficient Lock-Free Circular Queue. ISCAS (2021)
Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter
Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF (2020)
Sirish Kumar Pasupuleti, Raj Narayana Gadde, Vasanthakumar Rajagopal, Ashok Vishnoi, N. Chandra Sekhar, R. Chandra Kumar, Narasinga Rao Miniskar
Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications. ISCAS (2019)
Vasanthakumar Rajagopal, Chandra Kumar Ramasamy, Ashok Vishnoi, Raj Narayana Gadde, Narasinga Rao Miniskar, Sirish Kumar Pasupuleti
Accurate and Efficient Fixed Point Inference for Deep Neural Networks. ICIP (2018)
Sirish Kumar Pasupuleti, Aishwarya Rajaram, Narasinga Rao Miniskar, Raj Narayana Gadde, Deepanshu Yadvandu, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy
An Intelligent Bandwidth Manager for CNN Applications on Embedded Devices. ICIP (2018)
Narasinga Rao Miniskar, Sirish Kumar Pasupuleti, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy, Raj Narayana Gadde
Optimal SDRAM Buffer Allocator for Efficient Reuse of Layer IO in CNNs Inference Framework. ISCAS (2018)
Sirish Kumar Pasupuleti, Narasinga Rao Miniskar, Vasanthakumar Rajagopal, Raj Narayana Gadde
A novel method to regenerate an optimal CNN by exploiting redundancy patterns in the network. ICIP (2017)
Narasinga Rao Miniskar, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim
Fast cycle-accurate compile based simulator for reconfigurable processor. ISCAS (2017)
Narasinga Rao Miniskar, Rahul R. Patil, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim, Shi Hwa Lee
Intra mode power saving methodology for CGRA-based reconfigurable processor architectures. ISCAS (2016)
Narasinga Rao Miniskar, Soma Kohli, Haewoo Park, Donghoon Yoo
Retargetable automatic generation of compound instructions for CGRA based reconfigurable processor applications. CASES (2014)
Zubair Wadood Bhatti, Narasinga Rao Miniskar, Davy Preuveneers, Roel Wuyts, Yolande Berbers, Francky Catthoor
Memory and communication driven spatio-temporal scheduling on MPSoCs. SBCCI (2012)
Narasinga Rao Miniskar, Pankaj Shailendra Gode, Soma Kohli, Donghoon Yoo
Function inlining and loop unrolling for loop acceleration in reconfigurable processors. CASES (2012)
Zubair Wadood Bhatti, Davy Preuveneers, Yolande Berbers, Narasinga Rao Miniskar, Roel Wuyts
SAMOSA: Scratchpad aware mapping of streaming applications. SoC (2011)
Wim Heirman, Dirk Stroobandt, Narasinga Rao Miniskar, Roel Wuyts, Francky Catthoor
PinComm: Characterizing Intra-application Communication for the Many-Core Era. ICPADS (2010)
Narasinga Rao Miniskar, Elena Hammari, Satyakiran Munaga, Stylianos Mamagkakis, Per Gunnar Kjeldsberg, Francky Catthoor
Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study. SAMOS (2009)

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Publication Activity (10 Years)

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Narasinga Rao Miniskar