Parallel programming is hard. The industry leaders hope to convert the hard problem of using parallelism into the easier problem of using a parallel library. Yet, we know little about how programmers adopt these libraries in practice. Without such knowledge, other programmers cannot educate themselves about the state of the practice, library designers are unaware of API misusage, researchers make wrong assumptions, and tool vendors do not support common usage of library constructs. We present the first study that analyzes the usage of parallel libraries in a large scale experiment. We analyzed 655 open-source applications that adopted Microsoft's new parallel libraries -- Task Parallel Library (TPL) and Parallel Language Integrated Query...
Due to power constraints, future growth in computing capability must explicitly leverage parallelism...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...
Parallel programming is hard. The industry leaders hope to convert the hard problem of using paralle...
Computing is moving towards parallelism. Parallelism can be made easier by the use of parallel libra...
Concurrency is becoming the norm in modern software because multicores are now everywhere. Developer...
We performed semistructured, open-ended interviews with 11 professional developers of parallel, scie...
In recent years there has been a shift in microprocessor manufacture from building single-core proce...
In this diploma thesis the author will elaborate on asynchronous and parallel programming in the .NE...
In recent years, web applications have become pervasive. Their backbone is JavaScript, the only prog...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
Parallel programming is widely acknowledged to be more difficult than sequential programming. One re...
htmlabstractAdding parallelism to .NET C# software programs has become a great option that can be us...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
In developing High-Performance Computing (HPC) software, time to solution is an important metric. Th...
Due to power constraints, future growth in computing capability must explicitly leverage parallelism...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...
Parallel programming is hard. The industry leaders hope to convert the hard problem of using paralle...
Computing is moving towards parallelism. Parallelism can be made easier by the use of parallel libra...
Concurrency is becoming the norm in modern software because multicores are now everywhere. Developer...
We performed semistructured, open-ended interviews with 11 professional developers of parallel, scie...
In recent years there has been a shift in microprocessor manufacture from building single-core proce...
In this diploma thesis the author will elaborate on asynchronous and parallel programming in the .NE...
In recent years, web applications have become pervasive. Their backbone is JavaScript, the only prog...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
Parallel programming is widely acknowledged to be more difficult than sequential programming. One re...
htmlabstractAdding parallelism to .NET C# software programs has become a great option that can be us...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
In developing High-Performance Computing (HPC) software, time to solution is an important metric. Th...
Due to power constraints, future growth in computing capability must explicitly leverage parallelism...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...
There are several APIs (C+11, TBB, OpenMPI,... ) that properly support code parallelism in any of t...