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Paper: Ct is a deterministic parallel programming model which leverages emerging general-purpose GPU programming models and exploits CPU flexibility.
The hybrid silicon laser integrates light emitting capabilities of Indium Phosphide with the light-routing and low cost advantages of silicon.
Article: Looks at the single-chip computer and the trend toward employing higher core counts, along with its pros and cons.
Overview of the single chip cloud computer, a research chip with 24 tiles with two IA cores per tile and four integrated DDR3 memory controllers.
Programmers Guide: Shows the experienced parallel programmer how to run simple programs on the single chip cloud platform.
Document introduces the single chip cloud architecture, as well as the flexibility and potential of the platform for academic and industrial research.
Paper: Proposed architecture for tera-scale processors, including performance, scalability, and manufacturability of the uncore.
Paper: Discusses advanced video technologies for image reconstruction and enhancement and how image reconstruction can improve the quality image.
The Invented@Intel Labs web series highlights the impact of the research from Intel Labs by telling stories
Report: Evaluate radix sort on Intel® MIC architecture, implement radix sort on Knights Ferry, and improve the GPU radix performance.
Specification: Overview of single chip cloud architecture and RCCE, including the interface, power management API, and RCCE emulator.
Paper: How to efficiently build bounding volume hierarchies with surface area heuristic on the Intel® Many Integrated Core Architecture.
Intel Labs focuses on several research areas, each with their own projects. Topics include immersive experience, intelligent connectivity, and more.
Brian David Johnson and geneticist Madoo Varma on creating computer chips to sequence our genes and medicine tailored to personal genetic codes.
Brian David Johnson, Justin Rattner and Alan Kay discuss visioning and inventing the future and ways to rethink energy consumption in new technology.
Intel Futurist and sci-fi writer Brian David Johnson discusses The Tomorrow Project and explains the "future-casting" process at Intel.
Brian David Johnson and scientist Tadayoshi Khono on embedded computational devices, and security.
Brian David Johnson and Nola Donato on erasing the boundaries between physical reality and virtual reality. Includes future consumer applications.
Paper: The Ninja Gap is defined, how it can be reduced and alleviated to allow for more stable and predictable performance growth.
Teaser video for the Sponsors of Tomorrow webisodes which showcase the technologies of tomorrow.
Intel engages with academia on many levels through the Academic Research Office, focusing on internet-scale systems, memory devices, and more.
Paper: Discusses High Performance Computing thermal and power challenges including hot-spot superpositions, on-chip power delivery, and more
Paper: The hybrid silicon laser integrates light emitting capabilities of Indium Phosphide with the light-routing and low cost advantages of silicon.
White Paper: Explains current and future uses of a hybrid silicon laser and how it could create optical data pipes to carry information.
Brian David Johnson interviews Hong Wang and Perry Wang on extremely small-scale processor chip architecture for faster and more efficient computing