Narasinga Rao Miniskar

54 papers A 1B 9C 9Misc 3Journal 8Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on the Expanding Scope and Interdisciplinary Opportunities for Processing-in-Memory Techniques. IEEE Access Kazi Asifuzzaman, Yuan He, Tianyun Zhang, Eric Tang, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter
2026	J	`jnl`	Accl++ : A high-productivity programming language for performance and code portability on heterogeneous systems. Future Gener. Comput. Syst. Marc González, Pedro Valero-Lara, Mohammad Alaul Haque Monil, Seyong Lee, Beau Johnston, Aaron R. Young, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter
2026	—	`conf`	Orchid: Towards Heterogeneous Batched Eigenvalue Solvers. SCA/HPC Asia Workshops Matthew Chung, Keita Teranishi, Narasinga Rao Miniskar, Toshiyuki Imamura, Mohammad Alaul Haque Monil
2026	—	`conf`	Q-IRIS: The Evolution of the IRIS Task-Based Runtime to Enable Classical-Quantum Workflows. SCA/HPC Asia Workshops Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Elaine Wong, Vicente Leyton-Ortega, Jeffrey S. Vetter, Seth R. Johnson, Travis S. Humble
2025	C	`conf`	Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications. ISC William F. Godoy, Oscar R. Hernandez, Paul R. C. Kent, Maria Patrou, Kazi Asifuzzaman, Narasinga Rao Miniskar, Pedro Valero-Lara, Jeffrey S. Vetter, Matthew D. Sinclair, Jason Lowe-Power, Bobby R. Bruce
2025	J	`jnl`	Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications. CoRR William F. Godoy, Oscar R. Hernandez, Paul R. C. Kent, Maria Patrou, Kazi Asifuzzaman, Narasinga Rao Miniskar, Pedro Valero-Lara, Jeffrey S. Vetter, Matthew D. Sinclair, Jason Lowe-Power, Bobby R. Bruce
2025	B	`conf`	IRIS-MASH: Efficient Multi-device Asynchronous Multi-Stream Heterogeneous Computing. ICPP Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Kazi Asifuzzaman, Beau Johnston, Keita Teranishi, Jeffrey S. Vetter
2025	—	`conf`	IRISX: A Dynamic Trade-off System for Harnessing Heterogeneity for Performance Portability. IPDPS (Workshops) Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Franz Franchetti
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	A	`conf`	Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming. DATE Devin Pohl, Aaron R. Young, Kazi Asifuzzaman, Narasinga Rao Miniskar, Jeffrey S. Vetter
2025	J	`jnl`	Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming. CoRR Devin Pohl, Aaron R. Young, Kazi Asifuzzaman, Narasinga Rao Miniskar, Jeffrey S. Vetter
2025	B	`conf`	POSTER: IRISX: A Dynamic Trade-off System for Performance Portability on Multi-Accelerator Platforms. PACT Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Franz Franchetti
2025	—	`conf`	Performance Impact and Trade-Offs for Tuning Key Architectural Parameters on CPU+GPU Systems. GPGPU@PPoPP Kazi Asifuzzaman, Narasinga Rao Miniskar, William F. Godoy, Oscar R. Hernandez, Jeffrey S. Vetter
2025	J	`jnl`	Q-IRIS: The Evolution of the IRIS Task-Based Runtime to Enable Classical-Quantum Workflows. CoRR Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Elaine Wong, Vicente Leyton-Ortega, Jeffrey S. Vetter, Seth R. Johnson, Travis S. Humble
2025	—	`conf`	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors. Euro-Par (2) Kazi Asifuzzaman, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Narasinga Rao Miniskar, Matthew J. Marinella, Jeffrey S. Vetter
2024	B	`conf`	CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. e-Science Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku
2024	—	`conf`	COSMIC DAWN: Distributed Analysis of Wireless at Nextscale. MILCOM Michael M. Wise, Narasinga Rao Miniskar, Seth D. Hitefield, Mohammed M. Olama, Jeffrey S. Vetter
2024	—	`conf`	IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter
2024	—	`conf`	IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems. SC Workshops Beau Johnston, Thibault de Boissiere, Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Aaron R. Young, Seyong Lee, Jeffrey S. Vetter
2024	—	`conf`	IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity. HPEC Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Pedro Valero-Lara, Aaron R. Young, Keita Teranishi, Jeffrey S. Vetter
2024	—	`conf`	IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter
2024	—	`conf`	MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). WAMTA Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter
2024	—	`conf`	Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. ICONS Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter
2023	C	`conf`	A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS 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
2023	J	`jnl`	Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 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
2023	—	`conf`	An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
2023	—	`conf`	IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. HPEC Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Y. Liu, Jeffrey S. Vetter
2023	—	`conf`	MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara
2023	—	`conf`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 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
2023	J	`jnl`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR 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
2023	—	`conf`	Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter
2022	B	`conf`	Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter
2022	Misc	`conf`	IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter
2022	—	`conf`	LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS. RSDHA@SC Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Frank Y. Liu, Jeffrey S. Vetter, Pedro Valero-Lara
2022	B	`conf`	Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter
2021	C	`conf`	A Hierarchical Task Scheduler for Heterogeneous Computing. ISC Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
2021	C	`conf`	A Memory Efficient Lock-Free Circular Queue. ISCAS Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter
2021	—	`conf`	Toward Performance Portable Programming for Heterogeneous Systems on a Chip: A Case Study with Qualcomm Snapdragon SoC. HPEC Anthony M. Cabrera, Seth Hitefield, Jungwon Kim, Seyong Lee, Narasinga Rao Miniskar, Jeffrey S. Vetter
2020	—	`conf`	Deffe: a data-efficient framework for performance characterization in domain-specific computing. CF Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter
2019	C	`conf`	Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications. ISCAS Sirish Kumar Pasupuleti, Raj Narayana Gadde, Vasanthakumar Rajagopal, Ashok Vishnoi, N. Chandra Sekhar, R. Chandra Kumar, Narasinga Rao Miniskar
2018	B	`conf`	Accurate and Efficient Fixed Point Inference for Deep Neural Networks. ICIP Vasanthakumar Rajagopal, Chandra Kumar Ramasamy, Ashok Vishnoi, Raj Narayana Gadde, Narasinga Rao Miniskar, Sirish Kumar Pasupuleti
2018	B	`conf`	An Intelligent Bandwidth Manager for CNN Applications on Embedded Devices. ICIP Sirish Kumar Pasupuleti, Aishwarya Rajaram, Narasinga Rao Miniskar, Raj Narayana Gadde, Deepanshu Yadvandu, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy
2018	C	`conf`	Optimal SDRAM Buffer Allocator for Efficient Reuse of Layer IO in CNNs Inference Framework. ISCAS Narasinga Rao Miniskar, Sirish Kumar Pasupuleti, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy, Raj Narayana Gadde
2017	B	`conf`	A novel method to regenerate an optimal CNN by exploiting redundancy patterns in the network. ICIP Sirish Kumar Pasupuleti, Narasinga Rao Miniskar, Vasanthakumar Rajagopal, Raj Narayana Gadde
2017	C	`conf`	Fast cycle-accurate compile based simulator for reconfigurable processor. ISCAS Narasinga Rao Miniskar, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim
2016	C	`conf`	Intra mode power saving methodology for CGRA-based reconfigurable processor architectures. ISCAS Narasinga Rao Miniskar, Rahul R. Patil, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim, Shi Hwa Lee
2014	Misc	`conf`	Retargetable automatic generation of compound instructions for CGRA based reconfigurable processor applications. CASES Narasinga Rao Miniskar, Soma Kohli, Haewoo Park, Donghoon Yoo
2012	Misc	`conf`	Function inlining and loop unrolling for loop acceleration in reconfigurable processors. CASES Narasinga Rao Miniskar, Pankaj Shailendra Gode, Soma Kohli, Donghoon Yoo
2012	—	`conf`	Memory and communication driven spatio-temporal scheduling on MPSoCs. SBCCI Zubair Wadood Bhatti, Narasinga Rao Miniskar, Davy Preuveneers, Roel Wuyts, Yolande Berbers, Francky Catthoor
2012	—	`—`	System Scenario Based Resource Management of Processing Elements on MPSoC (Systeemscenario-gebaseerd beheer van taken op multiprocessor systemen-op-chip (MPSoC)). Narasinga Rao Miniskar
2011	—	`conf`	SAMOSA: Scratchpad aware mapping of streaming applications. SoC Zubair Wadood Bhatti, Davy Preuveneers, Yolande Berbers, Narasinga Rao Miniskar, Roel Wuyts
2010	B	`conf`	PinComm: Characterizing Intra-application Communication for the Many-Core Era. ICPADS Wim Heirman, Dirk Stroobandt, Narasinga Rao Miniskar, Roel Wuyts, Francky Catthoor
2009	—	`conf`	Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study. SAMOS Narasinga Rao Miniskar, Elena Hammari, Satyakiran Munaga, Stylianos Mamagkakis, Per Gunnar Kjeldsberg, Francky Catthoor