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A 22nm IA multi-CPU and GPU System-on-Chip
Abstract
This paper describes the 22nm Intel® processor codenamed Ivy Bridge that integrates up to four high-performance Intel Architecture (IA) cores, a power/performance optimized graphics/media processing unit (GPU), as well as memory, PCIe, and display controllers in the same die. The Ivy Bridge architecture is derived from the second-generation Intel Core™ processor. The processor has about 1.4 billion transistors in about 160mm2 in its largest incarnation. It introduces several enhancements in power, performance, and features over its predecessor. The IA core adds a pipelined divider, a next page prefetcher, additions to the ISA for 16b floating point conversion, fast string moves, and fast access of the FS/GS base registers. The Graphics/Media block provides significantly improved performance along with DX11 API support. Further, display capabilities have been augmented with a third independent display pipeline. The on-die power management control unit (PCU) and its associated firmware have added several power and thermal optimizations to improve performance and yield within the existing platform power envelopes, as well as to improve idle power relative to its predecessor. Power gates are distributed throughout the cores, enabling the PCU to independently either reduce voltage to a state retention voltage, or turn off voltage to a given core, depending on the current core usage conditions. The processor also implements power gating for portions of the DDR I/O buffers, reducing…
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Many processors with CPU and GPU on the same chip have already been produced, such as AMD Llano, Intel Sandy Bridge, and Ivy Bridge.
“An even closer level of integration between CPU and GPU can be achieved by fabricating them on the same chip and many such processors have already been produced, such as AMD Llano [Branover et al. 2012], Intel Sandy Bridge [Yuffe et al. 2011], Ivy Bridge [Damaraju et al. 2012] etc.”
From A Survey of CPU-GPU Heterogeneous Computing Techniques (2015) · cites this paper as Damaraju et al. 2012
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A Survey of CPU-GPU Heterogeneous Computing Techniques
Mittal, S., & Vetter, J. S. (2015) · ACM Computing Surveys · doi:10.1145/2788396 · Cited by 568
Metadata
- Authors
- Damaraju, S., George, V., Jahagirdar, S., Khondker, T., Milstrey, R., Sarkar, S., Siers, S., Stolero, I., & Subbiah, A.
- Venue
- 2012 IEEE International Solid-State Circuits Conference
- Publisher
- IEEE
- Published
- 2012-02
- Pages
- 56-57
- Cited by
- 70
- References
- 0
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