Follow
Kavitha Madhu
Kavitha Madhu
Indian Institute of Science, Argonne National Lab, Intel Labs
Verified email at iisc.ac.in
Title
Cited by
Cited by
Year
Compiling HPC kernels for the REDEFINE CGRA
KT Madhu, S Das, S Nalesh, SK Nandy, R Narayan
2015 IEEE 17th International Conference on High Performance Computing and …, 2015
212015
A framework for post-silicon realization of arbitrary instruction extensions on reconfigurable data-paths
S Das, K Madhu, M Krishna, N Sivanandan, F Merchant, S Natarajan, ...
Journal of Systems Architecture 60 (7), 592-614, 2014
212014
Rhyme: Redefine hyper cell multicore for accelerating hpc kernels
S Das, N Sivanandan, KT Madhu, SK Nandy, R Narayan
2016 29th International Conference on VLSI Design and 2016 15th …, 2016
112016
Synthesis of instruction extensions on hypercell, a reconfigurable datapath
KT Madhu, S Das, CM Krishna, S Nalesh, SK Nandy, R Narayan
2014 International Conference on Embedded Computer Systems: Architectures …, 2014
112014
Energy aware synthesis of application kernels expressed in functional languages on a coarse grained composable reconfigurable array
S Nalesh, KT Madhu, S Das, SK Nandy, R Narayan
2015 IEEE International Symposium on Nanoelectronic and Information Systems …, 2015
42015
Task allocation of safety-critical applications on reconfigurable multi-core architectures
T Guillaumet, E Feron, P Baufreton, F Neumann, K Madhu, M Krishna, ...
2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 1-10, 2017
22017
Energy aware synthesis of application kernels through composition of data-paths on a CGRA
S Nalesh, KT Madhu, S Das, SK Nandy, R Narayan
Integration 58, 320-328, 2017
22017
Autotuning LSTM for Accelerated Execution on Edge
A Saluja, A Mitra, A Deshwal, K Madhu, U Chugh, S Lee, J Song
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
12021
Flexible resource allocation and management for application graphs on renE mpsoc
KT Madhu, A Rao, S Das, KC Madhava, SK Nandy, R Narayan
Proceedings of the 7th Workshop on Parallel Programming and Run-Time …, 2016
12016
Compiler controlled Task Management in Runtime Systems for Dynamic Data ow Model of Execution
KT Madhu
2022
Transport Triggered near Memory Accelerator for Deep Learning
K Madhu, S Das, A Tyagi, A Deshwal, J Song, S Lee
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
2021
Work-in-Progress: REDEFINE (R)(TM)-A Case for WCET-friendly Hardware Accelerators for Real time Applications
K Madhu, T Singla, SK Nandy, R Narayan, F Neumann, P Baufreton
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017
2017
Accelerating HPC Kernels with RHyMe-REDEFINE HyperCell Multicore
S Das, S Nalesh, KT Madhu, SK Nandy, R Narayan
The system can't perform the operation now. Try again later.
Articles 1–13