Abstract not found

This paper presents SPLAY, an integrated system that facilitates the design, deployment and testing of largescale distributed applications. Unlike existing systems, SPLAY covers all aspects of the development and evaluation chain. It allows developers to express algorithms in a concise, simple language that highly resembles pseudocode found in research papers. The execution environment has low overheads and footprint, and provides a comprehensive set of libraries for common distributed systems operations. SPLAY applications are run by a set of daemons distributed on one or several testbeds. They execute in a sandboxed environment that shields the host system and enables SPLAY to also be used on nondedicated platforms, in addition to classical testbeds like PlanetLab or ModelNet. A controller manages applications, offering multi-criterion resource selection, deployment control, and churn management by reproducing the system’s dynamics from traces or synthetic descriptions. SPLAY’s features, usefulness, performance and scalability are evaluated using deployment of representative experiments on PlanetLab and ModelNet clusters. 1

Dynamic scripting languages offer programmers increased flexibility by allowing properties of programs to be defined at run-time. Typically, program execution begins with an interpreter where type checks are implemented using conditional statements. Recent JIT compilers have begun removing run-time checks by specializing native code to program properties discovered at JIT time. This paper presents a novel intermediate representation for scripting languages that explicitly encodes types of variables. The dynamic representation is a flow graph, where each node is a specialized virtual instruction and each edge directs program flow based on control and type changes in the program. The interpreter thus performs specialized execution of whole programs. We present techniques for the efficient interpretation of our representation showing speedups of greater than 2x overstaticinterpretation, with an average speedup of approximately 1.3x. 1.

Abstract. Lua is a scripting language used in many industrial applications, with an emphasis on embedded systems and games. Two key points in the design of the language that led to its widely adoption are flexibility and small size. To achieve these two conflicting goals, the design emphasizes the use of few but powerful mechanisms, such as first-class functions, associative arrays, coroutines, and reflexive capabilities. As a consequence of this design, although Lua is primarily a procedural language, it is frequently used in several different programming paradigms, such as functional, object-oriented, goal-oriented, and concurrent programming, and also for data description. In this paper we discuss what mechanisms Lua features to achieve its flexibility and how programmers use them for different paradigms. 1

The design of the Icon programming language’s expression evaluation system, which can perform limited backtracking, was unique amongst imperative programming languages when created. In this paper I explain and critique the original Icon design and show how a similar system can be integrated into a modern dynamically typed language. Finally I detail my experiences of this system and offer suggestions for the lessons to be learned from it.

In Nokia’s blizzard 2010 entry, we built the system with Nokia multilingual text to speech front end system and two high performance HTS backends. This MLTTS front end system describes the design and implementation designed for universal language coverage and a single code execution for them all based on the assumption that there are more features uniting world languages than differentiating them. Index Terms: speech synthesis, multilingual TTS system, HMM based speech synthesis system. 1.