Languages and Compilers for Parallel Computing - Lecture Notes in Computer Science
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9783319527086, 9783319527093

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Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC

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

10.1007/978-3-319-52709-3_9 ◽

2017 ◽

pp. 101-105

Author(s):

Mary Hall ◽

Protonu Basu

Keyword(s):

Domain Specific

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Analyzing Parallel Programming Models for Magnetic Resonance Imaging

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

10.1007/978-3-319-52709-3_15 ◽

2017 ◽

pp. 188-202 ◽

Cited By ~ 1

Author(s):

Forest Danford ◽

Eric Welch ◽

Julio Cárdenas-Ródriguez ◽

Michelle Mills Strout

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Parallel Programming ◽

Programming Models ◽

Resonance Imaging ◽

Parallel Programming Models

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Mapping Medley: Adaptive Parallelism Mapping with Varying Optimization Goals

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

10.1007/978-3-319-52709-3_22 ◽

2017 ◽

pp. 299-313

Author(s):

Murali Krishna Emani

Keyword(s):

Adaptive Parallelism

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Polygonal Iteration Space Partitioning

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

10.1007/978-3-319-52709-3_11 ◽

2017 ◽

pp. 121-136

Author(s):

Aniket Shivam ◽

Alexandru Nicolau ◽

Alexander V. Veidenbaum ◽

Mario Mango Furnari ◽

Rosario Cammarota

Keyword(s):

Space Partitioning ◽

Iteration Space

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Language Support for Reliable Memory Regions

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

10.1007/978-3-319-52709-3_6 ◽

2017 ◽

pp. 73-87

Author(s):

Saurabh Hukerikar ◽

Christian Engelmann

Keyword(s):

Language Support

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Locality-Aware Task-Parallel Execution on GPUs

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

10.1007/978-3-319-52709-3_19 ◽

2017 ◽

pp. 250-264 ◽

Cited By ~ 1

Author(s):

Jad Hbeika ◽

Milind Kulkarni

Keyword(s):

Parallel Execution ◽

Task Parallel

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Automatic Vectorization for MATLAB

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

10.1007/978-3-319-52709-3_14 ◽

2017 ◽

pp. 171-187 ◽

Cited By ~ 3

Author(s):

Hanfeng Chen ◽

Alexander Krolik ◽

Erick Lavoie ◽

Laurie Hendren

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The Contention Avoiding Concurrent Priority Queue

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

10.1007/978-3-319-52709-3_23 ◽

2017 ◽

pp. 314-330 ◽

Cited By ~ 1

Author(s):

Konstantinos Sagonas ◽

Kjell Winblad

Keyword(s):

Priority Queue

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Evaluating Performance of Task and Data Coarsening in Concurrent Collections

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

10.1007/978-3-319-52709-3_24 ◽

2017 ◽

pp. 331-345

Author(s):

Chenyang Liu ◽

Milind Kulkarni

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Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action

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

10.1007/978-3-319-52709-3_17 ◽

2017 ◽

pp. 218-232

Author(s):

Khalid Ahmad ◽

Anand Venkat ◽

Mary Hall

Keyword(s):

Sparse Matrix ◽

Data Transformations

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC

Analyzing Parallel Programming Models for Magnetic Resonance Imaging

Mapping Medley: Adaptive Parallelism Mapping with Varying Optimization Goals

Polygonal Iteration Space Partitioning

Language Support for Reliable Memory Regions

Locality-Aware Task-Parallel Execution on GPUs

Automatic Vectorization for MATLAB

The Contention Avoiding Concurrent Priority Queue

Evaluating Performance of Task and Data Coarsening in Concurrent Collections

Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action

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