Application software

About: Application software is a research topic. Over the lifetime, 12185 publications have been published within this topic receiving 219822 citations. The topic is also known as: software application & application software.

Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution

Abstract: Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate predictions at a low-cost across different architectures. In this paper, we derive an affordable method approaching cross-platform performance translation based on relative performance between two platforms. We argue that relative performance can be observed without running a parallel application in full. We show that it suffices to observe very short partial executions of an application since most parallel codes are iterative and behave predictably manner after a minimal startup period. This novel prediction approach is observation-based. It does not require program modeling, code analysis, or architectural simulation. Our performance results using real platforms and production codes demonstrate that prediction derived from partial executions can yield high accuracy at a low cost. We also assess the limitations of our model and identify future research directions on observationbased performance prediction.

Computerized system for the design, execution, and tracking of exercise programs

Abstract: A computerized system and method for the design, execution and tracking of exercise programs including portable microprocessor controlled data controllers to instruct and record the actual computed workout for the user. A data communication link transfers data between the data controllers and a computer hosting application software and database files for the particular user, exercise and exercise regimen to create and display a customizable and comprehensive exercise system designed for the particular user.

PRISM-II compiler and architecture

Abstract: This paper discusses the architecture and compiler for a general-purpose metamorphic computing platform called PRISM-II. PRISM-II improves the performance of many computationally-intensive tasks by augmenting the functionality of the core processor with new instructions that match the characteristics of targeted applications. In essence, PRISM (processor reconfiguration through instruction set metamorphosis) is a general purpose hardware platform that behaves like an application-specific platform. Two methods for hardware synthesis, one using VHDL Designer and the other using X-BLOX, are presented and synthesis results are compared. >

Using a user-level memory thread for correlation prefetching

Abstract: This paper introduces the idea of using a User-Level Memory Thread (ULMT) for correlation prefetching. In this approach, a user thread runs on a general-purpose processor in main memory, either in the memory controller chip or in a DRAM chip. The thread performs correlation prefetching in software, sending the prefetched data into the L2 cache of the main processor. This approach requires minimal hardware beyond the memory processor: the correlation table is a software data structure that resides in main memory, while the main processor only needs a few modifications to its L2 cache so that it can accept incoming prefetches. In addition, the approach has wide usability, as it can effectively prefetch even for irregular applications. Finally, it is very flexible, as the prefetching algorithm can be customized by the user on an application basis. Our simulation results show that, through a new design of the correlation table and prefetching algorithm, our scheme delivers good results. Specifically, nine mostly-irregular applications show an average speedup of 1.32. Furthermore, our scheme works well in combination with a conventional processor-side sequential prefetcher, in which case the average speedup increases to 1.46. Finally, by exploiting the customization of the prefetching algorithm, we increase the average speedup to 1.53.

Program slicing: methods and applications

Abstract: Program slicing is a viable method to restrict the focus of a task to specific sub-components of a program. Examples of applications include debugging, testing, program comprehension, restructuring, downsizing, and parallelization. The paper discusses different statement deletion based slicing methods, together with algorithms and applications to software engineering.