Search Results - "Automatically Parallelized"

Evaluating automatically parallelized versions of the support vector machine by Codreanu, Valeriu, Dröge, Bob, Williams, David, Yasar, Burhan, Yang, Po, Liu, Baoquan, Dong, Feng, Surinta, Olarik, Schomaker, Lambert R.B., Roerdink, Jos B.T.M., Wiering, Marco A.

“…Summary The support vector machine (SVM) is a supervised learning algorithm used for recognizing patterns in data. It is a very popular technique in machine…”
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Lock Coarsening: Eliminating Lock Overhead in Automatically Parallelized Object-Based Programs by Diniz, Pedro C., Rinard, Martin C.

“…Atomic operations are a key primitive in parallel computing systems. The standard implementation mechanism for atomic operations uses mutual exclusion locks…”
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Relative Debugging of Automatically Parallelized Programs by Jost, Gabriele, Hood, Robert

“…We describe a system that simplifies the process of debugging programs produced by computer-aided parallelization tools. The system uses relative debugging…”
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Adaptively increasing peformance and scalability of automatically parallelized programs by Moonesinghe, H D. K

“… In this thesis, we present adaptive execution techniques to increase the performance and scalability of automatically parallelized loops by executing them parallely or serially using the information…”
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Source-level debugging of automatically parallelized programs by Cohn, Robert Steven

“… A source-level debugger for automatically parallelized programs hides the parallelism from the user by providing the illusion that the original sequential program is executing…”
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Support for Debugging Automatically Parallelized Programs by Hood, Robert, Jost, Gabriele

“…We describe a system that simplifies the process of debugging programs produced by computer-aided parallelization tools. The system uses relative debugging…”
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Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space by Bendle, Dominik, Böhm, Janko, Decker, Wolfram, Georgoudis, Alessandro, Pfreundt, Franz-Josef, Rahn, Mirko, Wasser, Pascal, Zhang, Yang

“… Modelled in terms of Petri nets, these steps are efficiently automatized and automatically parallelized by GPI-S pace…”
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A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees by Silberstein, Mark, Weissbrod, Omer, Otten, Lars, Tzemach, Anna, Anisenia, Andrei, Shtark, Oren, Tuberg, Dvir, Galfrin, Eddie, Gannon, Irena, Shalata, Adel, Borochowitz, Zvi U., Dechter, Rina, Thompson, Elizabeth, Geiger, Dan

“…Motivation: The use of dense single nucleotide polymorphism (SNP) data in genetic linkage analysis of large pedigrees is impeded by significant technical,…”
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Towards generating efficient flow solvers with the ExaStencils approach by Kuckuk, Sebastian, Haase, Gundolf, Vasco, Diego A., Köstler, Harald

“…Summary ExaStencils aims at providing intuitive interfaces for the specification of numerical problems and resulting solvers, particularly those from the class…”
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Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming by Paszke, Adam, Johnson, Daniel D., Duvenaud, David, Vytiniotis, Dimitrios, Radul, Alexey, Johnson, Matthew J., Ragan-Kelley, Jonathan, Maclaurin, Dougal

“… We also introduce a fine-grained typed effects system which affords concise and automatically-parallelized in-place updates…”
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Ultrafast and scalable cone-beam CT reconstruction using MapReduce in a cloud computing environment by Meng, Bowen, Pratx, Guillem, Xing, Lei

“…Purpose: Four-dimensional CT (4DCT) and cone beam CT (CBCT) are widely used in radiation therapy for accurate tumor target definition and localization…”
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Evaluating MapReduce for Multi-core and Multiprocessor Systems by Ranger, C., Raghuraman, R., Penmetsa, A., Bradski, G., Kozyrakis, C.

“… It allows programmers to write functional-style code that is automatically parallelized and scheduled in a distributed system…”
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Transparent Speculative Parallelization of Discrete Event Simulation Applications Using Global Variables by Pellegrini, Alessandro, Peluso, Sebastiano, Quaglia, Francesco, Vitali, Roberto

“…Parallelizing (compute-intensive) discrete event simulation (DES) applications is a classical approach for speeding up their execution and for making very…”
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Panda: A Compiler Framework for Concurrent CPU+GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers by Sourouri, Mohammed, Baden, Scott B., Cai, Xing

“… Annotated with a small number of directives, sequential stencil C codes can be automatically parallelized for large-scale GPU clusters…”
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Panda: A Compiler Framework for Concurrent CPU...GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers by Sourouri, Mohammed, Baden, Scott B, Cai, Xing

“… Annotated with a small number of directives, sequential stencil C codes can be automatically parallelized for large-scale GPU clusters…”
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epiC: an extensible and scalable system for processing Big Data by Jiang, Dawei, Wu, Sai, Chen, Gang, Ooi, Beng Chin, Tan, Kian-Lee, Xu, Jun

“…The Big Data problem is characterized by the so-called 3V features: volume—a huge amount of data, velocity—a high data ingestion rate, and variety—a mix of…”
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Performance of windows multicore systems on threading and MPI by Qiu, Judy, Bae, Seung-Hee

“…). CCR presents a message‐based interface, while TPL allows for loops to be automatically parallelized…”
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An Optimization for MapReduce Frameworks in Multi-core Architectures by Ferreira, Tharso, Espinosa, Antonio, Moure, Juan Carlos, Hernández, Porfidio

“… The paradigm allows the programmer to write sequential code which is automatically parallelized…”
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Hierarchical dataflow modeling of iterative applications by Hyesun Hong, Hyunok Oh, Soonhoi Ha

“… With a given SDF/L graph specification and the mapping and scheduling information, an application can be automatically parallelized on a multicore system…”
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SU‐E‐I‐30: Fast and Reliable Cone‐Beam CT Reconstruction Using Cloud Computing by Meng, B, Pratx, G, Xing, L

“… The map function and the reduce function are automatically parallelized on a large cluster of machines…”
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