Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642360350, 9783642360367

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Evaluation of Power Consumption at Execution of Multiple Automatically Parallelized and Power Controlled Media Applications on the RP2 Low-Power Multicore

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_3 ◽

2013 ◽

pp. 31-45

Author(s):

Hiroki Mikami ◽

Shumpei Kitaki ◽

Masayoshi Mase ◽

Akihiro Hayashi ◽

Mamoru Shimaoka ◽

...

Keyword(s):

Power Consumption ◽

Low Power ◽

Media Applications

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CellCilk: Extending Cilk for Heterogeneous Multicore Platforms

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_7 ◽

2013 ◽

pp. 91-105

Author(s):

Tobias Werth ◽

Silvia Schreier ◽

Michael Philippsen

Keyword(s):

Multicore Platforms ◽

Heterogeneous Multicore

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OpenCL as a Programming Model for GPU Clusters

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_6 ◽

2013 ◽

pp. 76-90 ◽

Cited By ~ 2

Author(s):

Jungwon Kim ◽

Sangmin Seo ◽

Jun Lee ◽

Jeongho Nah ◽

Gangwon Jo ◽

...

Keyword(s):

Programming Model ◽

Gpu Clusters

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Scheduling Support for Communicating Parallel Tasks

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_17 ◽

2013 ◽

pp. 252-267

Author(s):

Jörg Dümmler ◽

Thomas Rauber ◽

Gudula Rünger

Keyword(s):

Parallel Tasks

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Automatic Scaling of OpenMP Beyond Shared Memory

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_1 ◽

2013 ◽

pp. 1-15 ◽

Cited By ~ 3

Author(s):

Okwan Kwon ◽

Fahed Jubair ◽

Seung-Jai Min ◽

Hansang Bae ◽

Rudolf Eigenmann ◽

...

Keyword(s):

Shared Memory ◽

Automatic Scaling

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A Hybrid Approach to Proving Memory Reference Monotonicity

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_5 ◽

2013 ◽

pp. 61-75 ◽

Cited By ~ 6

Author(s):

Cosmin E. Oancea ◽

Lawrence Rauchwerger

Keyword(s):

Hybrid Approach ◽

Memory Reference

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A Code Merging Optimization Technique for GPU

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_15 ◽

2013 ◽

pp. 218-236 ◽

Cited By ~ 1

Author(s):

Ryan Taylor ◽

Xiaoming Li

Keyword(s):

Optimization Technique

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Lock-Free Resizeable Concurrent Tries

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_11 ◽

2013 ◽

pp. 156-170 ◽

Cited By ~ 3

Author(s):

Aleksandar Prokopec ◽

Phil Bagwell ◽

Martin Odersky

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Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_14 ◽

2013 ◽

pp. 203-217 ◽

Cited By ~ 11

Author(s):

Sanjay Chatterjee ◽

Max Grossman ◽

Alina Sbîrlea ◽

Vivek Sarkar

Keyword(s):

Runtime System ◽

Task Parallelism ◽

Work Stealing ◽

Dynamic Task

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Double Inspection for Run-Time Loop Parallelization

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36036-7_4 ◽

2013 ◽

pp. 46-60 ◽

Cited By ~ 1

Author(s):

Michael Philippsen ◽

Nikolai Tillmann ◽

Daniel Brinkers

Keyword(s):

Loop Parallelization ◽

Run Time ◽

Time Loop

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Languages and Compilers for Parallel Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Evaluation of Power Consumption at Execution of Multiple Automatically Parallelized and Power Controlled Media Applications on the RP2 Low-Power Multicore

CellCilk: Extending Cilk for Heterogeneous Multicore Platforms

OpenCL as a Programming Model for GPU Clusters

Scheduling Support for Communicating Parallel Tasks

Automatic Scaling of OpenMP Beyond Shared Memory

A Hybrid Approach to Proving Memory Reference Monotonicity

A Code Merging Optimization Technique for GPU

Lock-Free Resizeable Concurrent Tries

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Double Inspection for Run-Time Loop Parallelization

Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science
Latest Publications