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| Search (using an execute and time feedback system) however, has several unfortunate consequences: it is time consuming (large search space); it is subject to measurement noise; it gives the best algorithm, rather than the optimal; it may not even find the best algorithm; and finally, it is a black box (we know which algorithm is best, but not why it is best). | Search (using an execute and time feedback system) however, has several unfortunate consequences: it is time consuming (large search space); it is subject to measurement noise; it gives the best algorithm, rather than the optimal; it may not even find the best algorithm; and finally, it is a black box (we know which algorithm is best, but not why it is best). | ||
| The goal of this work is to build an optimization framework for linear transforms that relies on the parameters and structure of the memory hierarchy ra-ther than search. The approach involves the definition of a memory model on which we define a cost function. We then identify what structures in the transform algorithm minimize the cost function and construct DFT algorithms that meet these crite-ria. This talk describes on-going research and many results are preliminary. | The goal of this work is to build an optimization framework for linear transforms that relies on the parameters and structure of the memory hierarchy ra-ther than search. The approach involves the definition of a memory model on which we define a cost function. We then identify what structures in the transform algorithm minimize the cost function and construct DFT algorithms that meet these crite-ria. This talk describes on-going research and many results are preliminary. | ||
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| =====Bio===== | =====Bio===== | ||
| Marek Telgarsky is a PhD student in the Electrical and Computer Engineering department. He com-pleted his Bachelor's Degree in Electrical Engineer-ing at the University of Wisconsin-Madison. His ad-visors are Jose Moura and James Hoe. His re-search interests include signal processing, software optimization, and computer architecture. | Marek Telgarsky is a PhD student in the Electrical and Computer Engineering department. He com-pleted his Bachelor's Degree in Electrical Engineer-ing at the University of Wisconsin-Madison. His ad-visors are Jose Moura and James Hoe. His re-search interests include signal processing, software optimization, and computer architecture. | ||
| + | **[[Seminars | Back to the seminar page]]** | ||