This Intel RMS application uses an extension of the Smoothed Particle Hydrodynamics (SPH) method to simulate an incompressible fluid for interactive animation purposes. Ferret is parallelized using the pipeline model. In the benchmark, we have configured the Ferret toolkit for image similarity search. The reason for the inclusion in the benchmark suite is that it represents emerging next-generation search engines for non-text document data types. It was developed by Princeton University. This application is based on the Ferret toolkit which is used for content-based similarity search. The workload was included in the benchmark suite because an increasing number of animations employ physical simulation to create more realistic effects. It computes a visually realistic animation of the modeled face by simulating the underlying physics. This Intel RMS application was originally developed by Stanford University. The reason for the inclusion of this kernel is that deduplication has become a mainstream method for new-generation backup storage systems. The kernel uses a pipelined programming model to mimic real-world implementations. It compresses a data stream with a combination of global and local compression that is called 'deduplication'. This kernel was developed by Princeton University. Canneal uses fine-grained parallelism with a lock-free algorithm and a very aggressive synchronization strategy that is based on data race recovery instead of avoidance. It uses cache-aware simulated annealing (SA) to minimize the routing cost of a chip design. This benchmark was included due to the increasing significance of computer vision algorithms in areas such as video surveillance, character animation and computer interfaces. This computer vision application is an Intel RMS workload which tracks a human body with multiple cameras through an image sequence. There is no closed-form expression for the Black-Scholes equation and as such it must be computed numerically. It calculates the prices for a portfolio of European options analytically with the Black-Scholes partial differential equation (PDE). This application is an Intel RMS benchmark. Overview of Features and Portability of PARSEC 2.0 Workloads Workload The following table summarizes the parallelization models and platforms supported by the programs.
#PARSEC WIKI FULL#
A full documentation of the workloads is available. PARSEC 2.0 includes 13 workloads from different application domains. We take videogame preservation seriously and want to ensure you can run your originally bought content on modern day PCs.Visits of the PARSEC web site from January 2008 to August 2008. In addition to this, you will soon be able to run original game discs (CDs) from RetroArch. Settings are also unified so configuration is done once and for all. While it can do many things besides this, it is most widely known for enabling you to run classic games on a wide range of computers and consoles through a slick graphical interface. RetroArch is an open source and cross platform frontend/framework for emulators, game engines, video games, media players and other applications.