Suivre
Kavitha Madhu
Kavitha Madhu
Indian Institute of Science, Argonne National Lab, Intel Labs
Adresse e-mail validée de iisc.ac.in
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Année
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
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