In her free time she enjoys hiking, travelling, cooking, and becoming indoctrinated into Wisconsin sports! A rational approach to portable high performance: Listing 3 provides no workload hints, but calls oski TuneMat periodically line Automatic performance tuning of sparse matrix kernels.
Parallel Proc Lett, 9 3 4.
The final set of reviews, which is still being completed, will include EPA's review process i. The information presented here does not necessarily reflect the position or the policy of the Government and no official endorsement should be inferred.
Listing 2 shows how to provide hints. A library for parallel linear algebra computation on sparse matrices. Feedback from the case studies has helped to determine improvements that are needed in the MSW-DST before it is released to ensure that the needs of the end users will be met.
She attended The University of Chicago, where she graduated with honors in Neuroscience. Note that the call to oski TuneMat marks the point during program execution at which tuning and therefore, its overhead may occur, thereby exposing the tuning step.
As with the BLAS, a non-unit stride allows a dense vector to be a submatrix. Nishtala was born in Vizag, India, and grew up in rural Illinois. Case studies were conducted for Madison and Milwaukee to assist the State in deciding what solid waste strategies should be used in the future to meet environmental improvement goals.
The MSW-DST provides states with a tool that provides an objective, credible, and life-cycle-based evaluation that is helpful in decision making. This optimization also allows easy recursion with multiple levels of cache blocking.
One of the main aims is to expose the penalty when there is not enough temporal locality in accessing the source vector. Figure 3 shows an evaluation of the models in Sect. The last line executed by every OSKI-Lua program returns the new data structure—here, the union of the split components A1A2and A3represented by the symbolic summation in line These emissions are then assigned to waste stream components for each facility that uses electricity and through which the mass flows.
We use a library-based approach because it enables the use of run-time information, and because of its potential immediate impact on applications. They were interested in identifying options that would be more economical and improve environmental performance.
Second, we introduce a scheduling approach to determine on-the-fly the best configuration to satisfy the QoS for latency-critical jobs on any architecture.
This thesis demonstrated how resources and costs can be made more efficient through evaluation of SWM on a national scale.Dr. Nishtala was born in Vizag, India, and grew up in rural Illinois.
She attended The University of Chicago, where she graduated with honors in Nishtala thesis. She completed her honors thesis on better identifying influenza vaccine constructs using microarray technology.
I would also like to thank the members of my thesis committee for taking time out of their busy schedules to attend my thesis defense, providing me with constructive feedback, and for their invaluable support throughout the span of the project.
Finally, I would like to thank my parents, Murthy Nishtala, Latha Nishtala and my brother, Arvind. Venkata Vijaykumar Nishtala currently works at the Department of Finance, Prin.
L. N. Welingkar Institute of Management Development & Research. Venkata Vijaykumar does research in Risk Management. Computer Science Undergraduate Honors Thesis, University of California, Berkeley. UCB//CSD Conference Posters  K. Curtis, P. Bodik A. Ganapathi, A. Fox, M. Jordan and D.
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