Title: Procedural code integration in streaming environments Author: Mgr. Michal Brabec Department: Department of Software Engineering Supervisor: David Bednárek, Ph.D. Abstract: Streaming environments and similar parallel platforms are widely used in image, signal, or general data processing as means of achieving high perfor- mance. Unfortunately, they are often associated with domain specific program- ming languages, and thus hardly accessible for non-experts. In this work, we present a framework for transformation of a procedural code to a streaming ap- plication. We selected a restricted version of the C# language as the interface for our system, because it is widely taught and many programmers are familiar with it. This approach will a...
Stream programs represent an important class of high-performance computations. Defined by their reg...
In this paper we present the initial development of a streaming environment based on a programming m...
This White Paper (submitted to STREAM 2016) identifies an approach to integrate streaming data with ...
Stream processing is a special form of the dataflow execution model that offers extensive opportunit...
Streaming applications like multimedia and radar signal processing applications are becoming increas...
Developers increasingly use streaming languages to write their data processing applications. While a...
We describe an efficient and scalable code generation framework that automatically maps general purp...
Streaming applications are built of data-driven, computational components, consuming and producing u...
This thesis considers how to exploit the specific characteristics of data streaming functions and mu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Published online : 20 April 2010International audienceStreaming applications are built of data-drive...
Many application areas for embedded systems, such as DSP, media coding, and image processing, are ba...
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering an...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Stream programs represent an important class of high-performance computations. Defined by their reg...
In this paper we present the initial development of a streaming environment based on a programming m...
This White Paper (submitted to STREAM 2016) identifies an approach to integrate streaming data with ...
Stream processing is a special form of the dataflow execution model that offers extensive opportunit...
Streaming applications like multimedia and radar signal processing applications are becoming increas...
Developers increasingly use streaming languages to write their data processing applications. While a...
We describe an efficient and scalable code generation framework that automatically maps general purp...
Streaming applications are built of data-driven, computational components, consuming and producing u...
This thesis considers how to exploit the specific characteristics of data streaming functions and mu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Published online : 20 April 2010International audienceStreaming applications are built of data-drive...
Many application areas for embedded systems, such as DSP, media coding, and image processing, are ba...
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering an...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Stream programs represent an important class of high-performance computations. Defined by their reg...
In this paper we present the initial development of a streaming environment based on a programming m...
This White Paper (submitted to STREAM 2016) identifies an approach to integrate streaming data with ...