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ORCIDNarasinga Rao Miniskar
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2020 – today
- 2024
[c31]Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku:
CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. e-Science 2024: 1-10- [c30]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: 58-67 - [c29]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: 46-58 - [c28]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: 59-70 - 2023
- [j1]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): 351-379 (2023) - [c27]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: 1-7 - [c26]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: 3:1-3:8 - [c25]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: 1-5 - [c24]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: 1-5 - [c23]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: 1:1-1:6 - [c22]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: 1081-1092 - [i1]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 abs/2307.11242 (2023) - 2022
- [c21]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: 1-7 - [c20]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter:
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC 2022: 256-261 - [c19]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: 12-21 - [c18]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: 227-243 - 2021
- [c17]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: 1-7 - [c16]Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter:
A Memory Efficient Lock-Free Circular Queue. ISCAS 2021: 1-5 - [c15]Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter:
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC 2021: 57-76 - 2020
- [c14]Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter:
Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF 2020: 182-191
2010 – 2019
- 2019
- [c13]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: 1-5 - 2018
- [c12]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: 1847-1851 - [c11]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: 4173-4177 - [c10]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: 1-5 - 2017
- [c9]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: 4407-4411 - [c8]Narasinga Rao Miniskar, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim:
Fast cycle-accurate compile based simulator for reconfigurable processor. ISCAS 2017: 1-4 - 2016
- [c7]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: 714-717 - 2014
- [c6]Narasinga Rao Miniskar, Soma Kohli, Haewoo Park, Donghoon Yoo:
Retargetable automatic generation of compound instructions for CGRA based reconfigurable processor applications. CASES 2014: 4:1-4:9 - 2012
- [b1]Narasinga Rao Miniskar:
System Scenario Based Resource Management of Processing Elements on MPSoC (Systeemscenario-gebaseerd beheer van taken op multiprocessor systemen-op-chip (MPSoC)). Katholieke Universiteit Leuven, Belgium, 2012 - [c5]Narasinga Rao Miniskar, Pankaj Shailendra Gode, Soma Kohli, Donghoon Yoo:
Function inlining and loop unrolling for loop acceleration in reconfigurable processors. CASES 2012: 101-110 - [c4]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: 1-6 - 2011
- [c3]Zubair Wadood Bhatti, Davy Preuveneers, Yolande Berbers, Narasinga Rao Miniskar, Roel Wuyts:
SAMOSA: Scratchpad aware mapping of streaming applications. SoC 2011: 48-55 - 2010
- [c2]Wim Heirman, Dirk Stroobandt, Narasinga Rao Miniskar, Roel Wuyts, Francky Catthoor:
PinComm: Characterizing Intra-application Communication for the Many-Core Era. ICPADS 2010: 500-507
2000 – 2009
- 2009
- [c1]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: 48-57
Coauthor Index
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last updated on 2024-10-15 21:37 CEST by the dblp team
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