This paper investigates open source applications to seek for oppor- tunities of flow-based parallelization. Domain of streaming appli- cation are targeted such as sentence parsing, image processing and data packet investigation. Component flow of application is iden- tified and profiling is conducted to discover bottleneck of program executions. After parallelization attempt, challenges of flow-based parallelization are identified and discussed.unpublishedis peer reviewe
A modern way of processing information is to do it in parallel. This Master Thesis conducts a case s...
Irregular applications have frequent data-dependent memory accesses and control flow. They arise in ...
AbstractIn this paper, we present a compiler extension for applications targeting high performance e...
This paper investigates open source applications to seek for oppor-tunities of flow-based paralleliz...
Emerging applications demand new parallel abstractions. Traditional parallel abstractions such as da...
Emerging applications in the domains of recognition, mining and synthesis (RMS); image and video pro...
Stream processing applications use online analytics to ingest high-rate data sources, process them o...
Performance, which defines multiple aspects of the quality of a software system, is one of the most ...
Pipeline parallelism organizes a parallel program as a linear se-quence of s stages. Each stage proc...
Performance, which defines multiple aspects of the quality of a software system, is one of the most ...
This thesis considers how to exploit the specific characteristics of data streaming functions and mu...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs ...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
A modern way of processing information is to do it in parallel. This Master Thesis conducts a case s...
Irregular applications have frequent data-dependent memory accesses and control flow. They arise in ...
AbstractIn this paper, we present a compiler extension for applications targeting high performance e...
This paper investigates open source applications to seek for oppor-tunities of flow-based paralleliz...
Emerging applications demand new parallel abstractions. Traditional parallel abstractions such as da...
Emerging applications in the domains of recognition, mining and synthesis (RMS); image and video pro...
Stream processing applications use online analytics to ingest high-rate data sources, process them o...
Performance, which defines multiple aspects of the quality of a software system, is one of the most ...
Pipeline parallelism organizes a parallel program as a linear se-quence of s stages. Each stage proc...
Performance, which defines multiple aspects of the quality of a software system, is one of the most ...
This thesis considers how to exploit the specific characteristics of data streaming functions and mu...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs ...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be...
A modern way of processing information is to do it in parallel. This Master Thesis conducts a case s...
Irregular applications have frequent data-dependent memory accesses and control flow. They arise in ...
AbstractIn this paper, we present a compiler extension for applications targeting high performance e...