Search Results for "productivity"

SINVAS is a software engineering platform tool to support Full Life Cycle of software development, and is composed of five products. SINVAS acquires Traceability, recyclability and visibility of software development. It will help greatly to the improvement of productivity and product quality. If you send various proposals, functions and bugs of SINVAS to us, we will reflect in the ongoing product development. SINVAS Product Introduction 1) SINVAS REQ - Requirement Management : https://sourceforge.net/projects/sinvas-req/ 2) SINVAS UML - MDD-based analysis/design : https://sourceforge.net/projects/sinvas-uml/ 3) SINVAS DEV - Modeling-based development : https://sourceforge.net/projects/sinvas-dev/ 4) SINVAS TEST - Testing and Validation of software : https://sourceforge.net/projects/sinvas-test/ 5) SINVAS ALM - Management of software development projects and methodology Thank you for your continuous interest and encouragement.

SINVAS is a software engineering platform tool to support Full Life Cycle of software development, and is composed of five products. SINVAS acquires Traceability, recyclability and visibility of software development. It will help greatly to the improvement of productivity and product quality. If you send various proposals, functions and bugs of SINVAS to us, we will reflect in the ongoing product development. SINVAS Product Introduction 1) SINVAS REQ - Requirement Management : https://sourceforge.net/projects/sinvas-req/ 2) SINVAS UML - MDD-based analysis/design : https://sourceforge.net/projects/sinvas-uml/ 3) SINVAS DEV - Modeling-based development : https://sourceforge.net/projects/sinvas-dev/ 4) SINVAS TEST - Testing and Validation of software : https://sourceforge.net/projects/sinvas-test/ * SINVAS CRY - Cloud computing based online modeling tool : http://cry.sinvas.com/ Thank you for your continuous interest and encouragement.

...From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.