Vasily Volkov

	E-mail:		volkov@cs.berkeley.edu
	Phone:		(510) 642-3979
	Office:		447 Soda Hall

I am a third year doctoral student in Computer Science interested in high performance computing and numerical linear algebra. My advisor is Prof. James Demmel. I have received 2008-2009 NVIDIA Fellowship.

Volkov, V. 120 GFLOPS in matrix-matrix multiply using DirectX 9.0, Technical Memo, January 31, 2007.
Volkov, V., and Demmel, J. W. Using GPUs to accelerate the bisection algorithm for finding eigenvalues of symmetric tridiagonal matrices, Technical Report No. UCB/EECS-2007-179, EECS Department, University of California, Berkeley, December 29, 2007. (Also LAPACK Working Note 197.)
Volkov, V., and Demmel, J. W. Using GPUs to accelerate linear algebra routines, Poster at PAR Lab Winter Retreat, January 9, 2008.
Volkov, V., and Demmel, J. W. LU, QR and Cholesky factorizations using vector capabilities of GPUs, Technical Report No. UCB/EECS-2008-49, EECS Department,University of California, Berkeley, May 13, 2008. (Also LAPACK Working Note 202.)
Garland, M., LeGrand, S., Nickolls, J., Anderson, J., Hardwick, J., Morton, S., Philipps, E., Zhang, Y., and Volkov, V. Parallel computing experiences with CUDA, IEEE Micro 28, 4, to appear.
Volkov, V., and Demmel, J. W. LU, QR and Cholesky factorizations using vector capabilities of GPUs, accepted to SC08.
Datta, K., Murphy, M., Volkov, V., Williams, S., Carter, J., Oliker, L., Patterson, D., Shalf, J., and Yelick, K. Stencil computation optimization and autotuning on state-of-the-art multicore architectures, accepted to SC08.

My matrix-matrix multiply code is in NVIDIA CUBLAS 2.0.
I have a similar code for the symmetric rank-k update (ssyrk).
My FFT prototype is 3x faster than NVIDIA CUFFT.