- Extending Xen* with Intel® Virtualization Technology
- ENERGY STAR* System Implementation
- Competitive Comparison: Dual-Core Intel® Xeon®: Processor-based Platforms vs. AMD Opteron*
- CMP Implementation in Systems Based on the Intel® Core™ Duo processor
- Software Company Plans for Multi-Core: How Epic Games, Adobe Systems, and IBM use Multi-Core Capability
- How to use all of CPUID for x64 platforms under Microsoft Visual Studio .NET 2005
- Flash and .NET Integration using ASP.NET
- Build and consume an ASP.NET Web service
- Multithreaded .NET Web service clients: threads and responsiveness
- High performance image processing and visualization in .NET client applications: Intel Integrated Performance Primitives (IPP)
Welcome to the Intel® Software Dispatch Subscription Program
1. Introduction
Intel processors with two cores are here now, and quad-core processors are right around the corner. In the coming years, the number of cores on a chip will continue to grow, launching an era of vastly more powerful computers. These are the machines that will deliver teraflop performance with the efficient capabilities needed to handle tomorrow’s emerging applications.
The Intel®Tera-scale Computing Research Program is Intel’s overarching effort to shape the future of Intel processors and platforms. Intel researchers are already working on over 100 R&D projects worldwide to address the hardware and software challenges of building and programming systems with dozens of energy-efficient cores with a sophisticated memory hierarchy. Currently, projects in this program span circuit technologies, microarchitecture, interconnects, memory, and software technologies.
Some may wonder why Intel is putting so much emphasis on terascale research. The reason is simple: tera-scale computing is a twofold revolution, both in the capabilities that devices will have, and in the amount of innovation that will be required to handle tomorrow’s advanced applications. The term itself—tera-scale—refers to the terabytes of data that must be handled by platforms capable of teraflops of computing performance. That’s a thousand times more compute capability than is available in today’s giga-scale devices.
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