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Autotuning gemm kernels for the fermi gpu
- Parallel and Distributed Systems, IEEE Transactions on
"... Abstract—In recent years, the use of graphics chips has been recognized as a viable way of accelerating scientific and engineering applications, even more so since the introduction of the Fermi architecture by NVIDIA, with features essential to numerical computing, such as fast double precision arit ..."
Abstract
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Cited by 8 (0 self)
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for producing matrix multiplication kernels tuned for a specific architecture, through a canonical process of heuristic autotuning, based on generation of multiple code variants and selecting the fastest ones through benchmarking. The key contribution of this work is in the method for generating the search
TO CODE OR NOT TO CODE
, 2002
"... de nationalité suisse et originaire de Zurich (ZH) et Lucerne (LU) acceptée sur proposition du jury: ..."
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de nationalité suisse et originaire de Zurich (ZH) et Lucerne (LU) acceptée sur proposition du jury:
1Space-Time Physical-Layer Network Coding
"... Abstract—A space-time physical-layer network coding (ST-PNC) method is presented for information exchange among multiple users over fully-connected multi-way relay networks. The method involves two key steps: i) side-information learning and ii) space-time relay transmission. In the first phase of s ..."
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Abstract—A space-time physical-layer network coding (ST-PNC) method is presented for information exchange among multiple users over fully-connected multi-way relay networks. The method involves two key steps: i) side-information learning and ii) space-time relay transmission. In the first phase
permission. Structured Codes in Information Theory: MIMO and Network Applications
"... All rights reserved. ..."
05 SIMULTANEOUS CLASSICAL-QUANTUM CAPACITIES OF QUANTUM MULTIPLE ACCESS CHANNELS
, 2005
"... ar ..."
IEEE TRANSACTIONS ON INFORMATION THEORY (SUBMITTED) 1 Noisy Matrix Completion under Sparse Factor Models
"... ar ..."
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
Abstract
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
1C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
"... Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an `1-regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit. In this work we combine the sparsity-inducing property of the Lasso ..."
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then extend this approach to the collaborative case, where a set of simultaneously coded signals share the same sparsity pattern at the higher (group) level, but not necessarily at the lower (inside the group) level, obtaining the collaborative HiLasso model (C-HiLasso). Such signals then share the same
Results 1 - 10
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