This document describes the deliverable D2.5 named Semantic speci cation for libraries. In document we present dierent mechanisms for specifying the semantic properties of libraries in generic terms. We explore two dierent alternative speci cations: axiom based and compiletime contracts. First mechanism Continue reading D2.5: Semantic speci cation for libraries
The aim of this deliverable is to describe the Automatic Kernel Identification Tool (AKI) that aims to identify potential kernels in C++ sequential applications. AKI looks for hotspots that can be o ined on heterogeneous computing devices. Finally, AKI annotates the Continue reading D3.4: Automatic kernel identi cation and assessment
In this document, we describe a method for deriving detailed, system-level quantitative models for predicting performance, power, and energy consumption based on source code software metrics. The models are built by employing various statistical and machine learning methods where the Continue reading D7.3: System-level quantitative models
The REPARA Project aims to deploy software kernels of a sequential application written in C++ in a parallel heterogeneous platform by using static or dynamic scheduling and mapping techniques with the objective to improve both the performance and the energy Continue reading D6.3: Dynamic runtimes with auto-tuning capabilities
The REPARA Project aims to provide a uniform programming interface for applications on parallel heterogeneous platforms to improve both the performance, as well as the energy efficiency. Field-programmable gate arrays (FPGAs) are characterized by their potential for deep spatial parallelism Continue reading D5.4: Reconfigurable hardware integration into runtime engines
The Repara Project targets the utilization of parallel heterogeneous hardware platforms such as GPGPUs, DSPs or FPGAs within a common design flow. Enhancements in terms of energy efficiency as well as performance shall be achieved by executing individual parts of Continue reading D5.2: Target platform for stand-alone hw execution and library of optimized module
The REPARA Project aims to deploy software kernels of a sequential application written in C++ in parallel heterogeneous platforms by using static or dynamic scheduling and mapping techniques in order to improve both the performance and the energy e fficiency. The Continue reading D6.2: Dynamic runtimes for heterogeneous platforms
So far we have examined how performance and energy consumption changed if a program was executed on dierent platforms. Although it is a very important aspect of a program, there are other factors that have to be taken into consideration. Continue reading D7.4: Maintainability models of heterogeneous programming models
In this document, we describe a method for deriving detailed quantitative models for predicting performance, power, and energy consumption based on source code software metrics, with a special focus on recon gurable hardware. The models are built by employing various statistical and Continue reading D7.2: Detailed quantitative performance and energy models
This report is the second in a series of documents reporting progress in the REPARA project. It will be followed later in the project by the third project periodic report to be produced at the end of second reporting period. ICT-609666-D1.2
