Rogue Wave Software, Inc.

Intel Corporation

Magnus Vesterlund

Erik Hagersten

Erik Berg

Mats Nilsson

Mikael Petterson

Hakan Zeffer

Samuel Rydh

Johan Rydberg

Magnus Christensson

A system, method, and computer program product that captures performance-characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted. Reuse distance for one memory operation may be measured as the number of memory operations that have been performed since the memory object it accesses was last accessed. Separate call stacks leading up to the same memory operation are identified and statistics are separated for the different call stacks. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered. The method includes modeling multithreaded memory systems and detecting false sharing coherence misses.

System for and method of capturing performance characteristics data from a computer system and modeling target system performance

A system for, method of and computer program product captures performance-characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered.

System for and method of capturing application characteristics data from a computer system and modeling target system

Arbitrary, unmodified code and/or software may be executed directly on a host processor operating in a virtualized mode using hardware virtualization support and performance counters. The arbitrary software may be run on the host processor until the host processor exits from the virtualized mode. An end execution time may be calculated in response to the host processor exiting from the virtualized mode. An event may then be handled based on an execution time at which the host processor exited from the virtualized mode and a time at which a scheduled event was to occur.

Methods, apparatuses and computer program products for simulating arbitrary unmodified code

A system for, method of and computer program product captures performance-characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations.

Growing community of inventors

Stockholm, Sweden

Magnus Vesterlund