Narasinga Rao Miniskar

According to our database, Narasinga Rao Miniskar authored at least 34 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky).

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter

Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming.

Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter

Proceedings of the Asynchronous Many-Task Systems and Applications, 2024

IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies.

Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering.

Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter

Proceedings of the International Conference on Neuromorphic Systems, 2024

CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems.

Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.

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

Int. J. High Perform. Comput. Appl., July, 2023

MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime.

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms.

Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter

Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

A 3D Implementation of Convolutional Neural Network for Fast Inference.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

An FPGA-Based Neuromorphic Processor with All-to-All Connectivity.

Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

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

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing.

Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Y. Liu, Jeffrey S. Vetter

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning.

Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS.

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Frank Y. Liu, Jeffrey S. Vetter, Pedro Valero-Lara

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library.

Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Ultra Low Latency Machine Learning for Scientific Edge Applications.

Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

A Hierarchical Task Scheduler for Heterogeneous Computing.

Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter

Proceedings of the High Performance Computing - 36th International Conference, 2021

A Memory Efficient Lock-Free Circular Queue.

Narasinga Rao Miniskar, Frank Liu, Jeffrey S. Vetter

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Toward Performance Portable Programming for Heterogeneous Systems on a Chip: A Case Study with Qualcomm Snapdragon SoC.

Anthony M. Cabrera, Seth Hitefield, Jungwon Kim, Seyong Lee, Narasinga Rao Miniskar, Jeffrey S. Vetter

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Deffe: a data-efficient framework for performance characterization in domain-specific computing.

Frank Liu, Narasinga Rao Miniskar, Dwaipayan Chakraborty, Jeffrey S. Vetter

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019

Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications.

Sirish Kumar Pasupuleti, Raj Narayana Gadde, Vasanthakumar Rajagopal, Ashok Vishnoi, N. Chandra Sekhar, R. Chandra Kumar, Narasinga Rao Miniskar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Optimal SDRAM Buffer Allocator for Efficient Reuse of Layer IO in CNNs Inference Framework.

Narasinga Rao Miniskar, Sirish Kumar Pasupuleti, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy, Raj Narayana Gadde

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Accurate and Efficient Fixed Point Inference for Deep Neural Networks.

Vasanthakumar Rajagopal, Chandra Kumar Ramasamy, Ashok Vishnoi, Raj Narayana Gadde, Narasinga Rao Miniskar, Sirish Kumar Pasupuleti

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Intelligent Bandwidth Manager for CNN Applications on Embedded Devices.

Sirish Kumar Pasupuleti, Aishwarya Rajaram, Narasinga Rao Miniskar, Raj Narayana Gadde, Deepanshu Yadvandu, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Fast cycle-accurate compile based simulator for reconfigurable processor.

Narasinga Rao Miniskar, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A novel method to regenerate an optimal CNN by exploiting redundancy patterns in the network.

Sirish Kumar Pasupuleti, Narasinga Rao Miniskar, Vasanthakumar Rajagopal, Raj Narayana Gadde

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Intra mode power saving methodology for CGRA-based reconfigurable processor architectures.

Narasinga Rao Miniskar, Rahul R. Patil, Raj Narayana Gadde, Young-chul Rams Cho, Sukjin Kim, Shi Hwa Lee

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2014

Retargetable automatic generation of compound instructions for CGRA based reconfigurable processor applications.

Narasinga Rao Miniskar, Soma Kohli, Haewoo Park, Donghoon Yoo

Proceedings of the 2014 International Conference on Compilers, 2014

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

PhD thesis, 2012

Memory and communication driven spatio-temporal scheduling on MPSoCs.

Zubair Wadood Bhatti, Narasinga Rao Miniskar, Davy Preuveneers, Roel Wuyts, Yolande Berbers, Francky Catthoor

Proceedings of the 25th Symposium on Integrated Circuits and Systems Design, 2012

Function inlining and loop unrolling for loop acceleration in reconfigurable processors.

Narasinga Rao Miniskar, Pankaj Shailendra Gode, Soma Kohli, Donghoon Yoo

Proceedings of the 15th International Conference on Compilers, 2012

2011

SAMOSA: Scratchpad aware mapping of streaming applications.

Zubair Wadood Bhatti, Davy Preuveneers, Yolande Berbers, Narasinga Rao Miniskar, Roel Wuyts

Proceedings of the 2011 International Symposium on System on Chip, 2011

2010

PinComm: Characterizing Intra-application Communication for the Many-Core Era.

Wim Heirman, Dirk Stroobandt, Narasinga Rao Miniskar, Roel Wuyts, Francky Catthoor

Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010

2009

Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study.

Narasinga Rao Miniskar, Elena Hammari, Satyakiran Munaga, Stylianos Mamagkakis, Per Gunnar Kjeldsberg, Francky Catthoor

Proceedings of the Embedded Computer Systems: Architectures, 2009