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Other examples include general-purpose application suites with their spreadsheet and word-processing programs, as well as "vertical" applications that serve a specific industry segment for instance, an application that schedules, routes, and tracks package deliveries for an overnight carrier.
However, the need for dedicated programming environments has made the usage of GPUs rather complicated, and a GPU cannot directly execute binary code of a general-purpose application.
A general-purpose application specific integrated circuit (ASIC) chip for the control of switched reluctance machines (SRMs) was designed and validated to fill the gap between the microcontroller capability and the controller requirements of high performance switched reluctance drive (SRD) systems.
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However, to accommodate general-purpose applications, companies were forced to build a very complex and very expensive utility computing infrastructure.
The importance of GPUs has recently been recognized for general-purpose applications such as video and image processing algorithms.
GPU architectures are becoming increasingly programmable, offering the potential for dramatic speedups for a variety of general-purpose applications compared to contemporary general-purpose processors (CPUs).
Although division and square root are relatively infrequent operations in traditional general-purpose applications, they are indispensable and becoming increasingly important in many modern applications.
We use simple, general-purpose applications as well as the introduced packet processing tasks to determine the performance capabilities and the resource efficiency of the GigaNetIC architecture.
Due to huge spatial datasets of Wenchuan, China and narrow network bandwidth, general-purpose applications are difficult to transmit and visualize these datasets on the network.
However, the rigorous execution correctness is required for general-purpose applications, which makes reliability a growing concern in the GPGPU architecture design.
This is done by comparing program characteristics of multimedia applications (coming from the MediaBench suite, the X benchmarks from the SimpleScalar distribution, plus a set of MPEG-4 like algorithms) and general-purpose applications (coming from the SPECint95 and the SPECint2000 benchmark suite).
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