PC

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PC

PC

1. ISO 3166-1 alpha-2 code for the Trust Territory of the Pacific Islands, which separated into several territories and independent countries. This was the code used in international transactions to and from bank accounts in the trust territory.

2. ISO 3166-2 geocode for the Trust Territory of the Pacific Islands. This was used as an international standard for shipping to the trust territory.

In both cases, the code is obsolete.

PC

see PERSONAL COMPUTER.
References in periodicals archive ?
The result above is based on the best performance result for an x86-based system with SPECjAppServer 2004.
Clients are rapidly adopting analytics for greater business insight and moving critical workloads like ERP, analytics and database to the cloud for increased efficiency and lower costs, and x86-based systems are the first choice for many.
When run on x86-based systems, PGI CUDA C/C++ applications perform parallel execution by using the multiple processor cores, and by using Streaming SIMD (Single Instruction Multiple Data) Extensions (SSE), including the new AVX instructions available on the latest generation of x86 compatible CPUs from Intel and AMD.
This trend will clearly continue with the upcoming release of the CUDA-x86 compiler, enabling developers to compile and optimize their CUDA applications to run on x86-based systems.
HP is the leading supplier of x86-based systems running Solaris and is increasing its investment in that technology -- hence the focus of the migration deals and discounts is on the UltraSparc users, said Paul Gottsegen, vice president of integrated marketing at HP.
vSMP Foundation Tops SPECjbb List for Performance on x86-Based Systems
When run on x86-based systems without a GPU, PGI CUDA C applications will use multiple cores and the streaming SIMD (Single Instruction Multiple Data) capabilities of Intel and AMD CPUs for parallel execution.
IBM has now renewed its entire portfolio of x86-based systems to meet the broadest set of client needs.
3Leaf Systems allows customers to merge previously separate CPU, I/O and memory resources from multiple x86-based systems into one large computing "fabric" so these resources can be instantly delivered to demanding applications, just-in-time, as needed.