Engineers looking to tap into high-performance computing
(HPC) horsepower to help solve their complex mathematical problems now have a
new option with the latest version of Maplesoft's Maple Grid Computing Toolbox.
The Maple 14 release of the Grid Computing Toolbox provides
built-in integration with Windows HPC Server, including Windows HPC Server 2008
R2. The platform connects directly to a user's Windows HPC Server cluster,
simplifying installation, configuration and operation of the grid. It also
integrates with the Windows HPC Server tool chain to handle administrative
tasks such as job scheduling, load balancing and usage monitoring. The Maple 14
Grid Computing Toolbox also uses the standard message passing interface (MPI)
protocol for efficient communication between nodes in the grid, and easy
integration with tools that support this protocol.
The Maple Grid Computing Toolbox allows users to run Maple
computations in parallel, taking advantage of the hardware resources they have
available. The toolbox essentially lets engineers distribute computations
across the nodes of a network of workstations, a supercomputer or the CPUs of a
multiprocessor computer. By doing so, engineers can handle computational
problems that were not doable on a single machine because of memory limitations
or because the workload would simply take too long.
The Grid Computing Toolbox is available in two
different versions: The Personal
Edition supports up to eight CPUs in the cluster while the Cluster Edition supports an unlimited
number of CPUs in the cluster.
Researchers at the University of Maryland have achieved a first in lithium-ion battery science: the development of a successful lithium-based battery using one material for all three core components of a battery -- anode, cathode, and electrolyte.
The online Bar Steel Fatigue Database for automotive design engineers has been updated for the fifth time and now contains 134 iterations, or grade/process combinations. It provides better predictability for designing parts with long-term reliability and durability.
FPGAs use programmable fabric to create custom logic, but this flexibility comes at a cost -- usually around 10 times more silicon real estate and 10 times the power dissipation. Can we really claim any FPGA is low power?
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