85 citations · 287 across the 21 of their papers we have counts for
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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-…
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…
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…