Machine-specific optimizations command the machine to behave in a specific way. As current programming models largely leave machine details unexposed, they cannot accommodate direct encoding of such commands. In previous work we have proposed the design of performancetransparent programming models to facilitate this use-case; this report contains proof-of-concept examples of such programming mo...

Conventional utilization-based power model is effective for measuring the power consumption of physical machines. However, in virtualized environments its accuracy cannot be guaranteed because of the recursive resource accessing among multiple virtual machines. In this paper, we present a novel virtual machine scheduling algorithm, which uses Performance-Monitor-Counter as heuristic information...

In high-performance computing (HPC) settings, in which multiprocessor machines are shared among users with potentially competing resource demands, processors are allocated to user workload using space sharing. Typically, users interact with a given machine by submitting their jobs to a centralized batch scheduler that implements a site-specific, and often partially hidden, policy designed to ma...

Today’s fast‐ pace manufacturing company environment requires that manufacturing decisions be made at the time when their impact will be the most relevant for the operations. The importance of the proper information and knowledge necessary for such decision can not be overstated. This paper discusses a procedure for the selection of process plans in real‐ time, during the manufacturing executio...

Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techniques, and 4) generates results. We describe a system implementing the four steps in ODA, focusing our attention on the data-mining step where our goal is to predict the value of a performance parameter (e.g., response...

When developing software for embedded systems, the set of essential tools includes a compiler and an instruction set simulator. Since software and hardware are often designed in parallel, the tools must be easily adaptable to the changing target architecture. For the compiler, its back-end (the code generator) must be retargetable. Abstraction from the target machine is the key to an automated ...