The Intel® Tera-scale Computing Research Program is a worldwide effort to advance computing technology for the next decade. By scaling multi-core architectures to 10s to 100s of cores and embracing a shift to parallel programming, we aim to improve performance, increase energy-efficiency, and make future applications more compelling and immersive.

• Tera-scale computing research vision
• Featured research projects
• Papers and multimedia on tera-scale
• Tera-scale video showcase 
• The Larrabee microarchitecture 

"Tera" means 1 trillion, or 1,000,000,000,000. Our vision is to create platforms capable performing of trillions of calculations per second (teraflops) on trillions of bytes of data (terabytes).   

• Scalable multi-core architectures which integrate streamlined processor cores and accelerators using a fast, energy-efficient, modular core-to-core infrastructure. 
  Examples: 80-core prototype, Tera-scale Emulator, Dynamic Thermal Management, Task Queues.
   
• Memory sharing and stacking to provide a high bandwidth, flexible, cache & memory hierarchy which supports many simultaneous threads fairly and efficiently. 
  Examples: 3D Stacking, Cache Quality of Service.
   
• High Bandwidth I/O and Communications which balance the compute demands with I/O and network demands within the platform power and cost budgets. 
  Examples: High-speed Copper I/O, Silicon Photonics, I/O Accelerators. 

• Model-based applications which use tera-scale capabilities to comprehend data, make smarter decisions, and make visual experiences look, act, and feel real. Read this white paper to learn more. 
  Examples: Immersive Connected Experiences, Ray Tracing, Physical Modeling, Media Mining and Enhancment.
   
• Parallel programming tools that empower the ordinary programmer to develop applications that use parallelism with scalability & performance, safety & reliability.
  Examples: Transactional Memory, Accelerator Exoskeleton, Ct Data-Parallel Programming.
   
• Thread-aware execution environments that provide real-time performance & power management across cores and scale with increasing thread and core counts.
  Examples: Many-core Run Time, Tera-scale Virtual Machine.

Learn more about key research projects and initiatives:

• 80 Core Teraflops Research Processor
• ScienceSim Virtual World 
• Immersive Connected Experiences
• Co-processor Memory Sharing for Larrabee
• The Universal Parallel Computing Research Centers
• Software Transactional Memory
• Silicon Photonics & the Hybrid Silicon Laser
• Ct: C for Throughput Computing