Valentina Popescu

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GPUs are an important hardware development platform for problems where massive parallel computations are needed. Many of these problems require a higher precision than the standard double floating-point (FP) available. One common way of extending the precision is the multiple-component approach, in which real numbers are represented as the unevaluated sum(More)
Software Tuning Panels for Autonomic Control (STAC) is a project to assist in the integration of existing software into autonomic frameworks. It works by identifying tuning parameters and rearchitecting to expose them as a separate control panel module. The project poses three distinct research challenges: automating the identification of tuning parameters,(More)
In this paper we provide an overview of IBM WebSphere Studio, a family of tools for developing distributed applications for J2EETM servers for state-of-the-art information technology systems. In today’s business environment such systems are complex, comprise multiple platforms, and make use of a wide range of technologies and standards. Through a(More)
Today, GPUs represent an important hardware development platform for many problems in dynamical systems, where massive parallel computations are needed. Beside that, many numerical studies of chaotic dynamical systems require a computing precision higher than common oating point (FP) formats. One such application is locating invariant sets for chaotic(More)
Many numerical problems require a higher computing precision than the one offered by standard floating-point (FP) formats. One common way of extending the precision is to represent numbers in a multiple component format. By using the socalled floating-point expansions, real numbers are represented as the unevaluated sum of standard machine precision FP(More)
Motivation Numerical problems require floating-point operations with higher precision than double (binary64) 1 / 10 Motivation Numerical problems require floating-point operations with higher precision than double (binary64) e.g. in dynamical systems like: finding sinks in Hénon map, iterating Lorenz attractor, long term stability of the solar system 1 / 10(More)
Some important computational problems must use a floating-point (FP) precision several times higher than the hardware-implemented available one. These computations critically rely on software libraries for high-precision FP arithmetic. The representation of a high-precision data type crucially influences the corresponding arithmetic algorithms. Recent work(More)
Many scientific computing applications demand massive numerical computations on parallel architectures such as Graphics Processing Units (GPUs). Usually, either floating-point single or double precision arithmetic is used. Higher precision is generally not available in hardware, and software extended precision libraries are much slower and rarely supported(More)