Simone Sbaraglia

Learn More
In this paper we present SIGMA (Simulation Infrastructure to Guide Memory Analysis), a new data collection framework and family of cache analysis tools. The SIGMA environment provides detailed cache information by gathering memory reference data using software-based instrumentation. This infrastructure can facilitate quick probing into the factors that(More)
Our productivity centered performance tuning framework for HPC applications comprises of three main components: (1) a versatile source code, performance metrics, and performance data visualization and analysis graphical user interface, (2) a unique source code and binary instrumentation engine, and (3) an array of data collection facilities to gather(More)
In this paper, we present the architecture design and implementation of a framework for automated performance bottleneck detection. The framework analyzes the time-spent distribution in the application and discovers the performance bottlenecks by using given bottleneck definitions. The user can query the application execution performance to identify(More)
In this paper we describe pSigma, which is an infrastructure for instrumenting parallel applications, enabling the users to probe into the execution of an application by intercepting its control-flow at selected points, the selection being made by lucid specifications using symbolic names of data structures and functions in the source program and(More)
Jeffrey Odom Dept. of Computer Science University of Maryland College Park, MD 20742 jodom@cs.umd.edu Luiz DeRose Cray Inc Mendota Heights, MN ldr@cray.com Kattamuri Ekanadham IBM T. J. Watson Research Center Yorktown Heights, NY 10598 eknath@us.ibm.com Jeffrey K. Hollingsworth Dept. of Computer Science University of Maryland College Park, MD 20742(More)
This paper describes an overview of environment for memory performance studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed together to predict the performance of parallel programs on a variety of current and future high end computing (HEC) systems. The framework seeks to combine the automated nature of(More)
This paper is devoted to the analysis of a discrete-time dynamic programming algorithm for the numerical solution of an optimal asset–liability management model with transaction costs and in presence of constraints. By exploiting the financial properties of the model, we propose an approximation method based on the classical dynamic programming algorithm,(More)