most citedEfficient Realization of Householder Transform through Algorithm-Architecture Co-design for Acceleration of QR Factorization

15 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2018★ 5 cited

Efficient Realization of Givens Rotation through Algorithm-Architecture Co-design for Acceleration of QR Factorization

Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay +4

We present efficient realization of Generalized Givens Rotation (GGR) based QR factorization that achieves 3-100x better performance in terms of Gflops/watt over state-of-the-art r…

cs.MS2018

Achieving Efficient Realization of Kalman Filter on CGRA through Algorithm-Architecture Co-design

Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay +3

In this paper, we present efficient realization of Kalman Filter (KF) that can achieve up to 65% of the theoretical peak performance of underlying architecture platform. KF is real…

cs.PF2016★ 15 cited

Efficient Realization of Householder Transform through Algorithm-Architecture Co-design for Acceleration of QR Factorization

Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay +3

We present efficient realization of Householder Transform (HT) based QR factorization through algorithm-architecture co-design where we achieve performance improvement of 3-90x in-…

cs.AR2016★ 4 cited

Accelerating BLAS on Custom Architecture through Algorithm-Architecture Co-design

Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay +3

Basic Linear Algebra Subprograms (BLAS) play key role in high performance and scientific computing applications. Experimentally, yesteryear multicore and General Purpose Graphics P…

cs.AR2016★ 1 cited

Accelerating BLAS and LAPACK via Efficient Floating Point Architecture Design

Farhad Merchant, Anupam Chattopadhyay, Soumyendu Raha +2

Basic Linear Algebra Subprograms (BLAS) and Linear Algebra Package (LAPACK) form basic building blocks for several High Performance Computing (HPC) applications and hence dictate p…