Google Inc.

Vinod Chamarty

Jason Rupert Redgrave

Manu Gulati

Albert Meixner

Benjamin K Dodge

Lawrence John Madar, Iii

Keith Robert Pflederer

Allan Douglas Knies

Xiaoyu Ma

Hongil Yoon

Rahul Jagdish Thakur

Joao Dias

Weiping Liao

Lawrence J Iii Madar

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for allocating cache resources according to page-level attribute values. In one implementation, the system includes one or more integrated client devices and a cache. Each client device is configured to generate at least a memory request. Each memory request has a respective physical address and a respective page descriptor of a page to which the physical address belongs. The cache is configured to cache memory requests for each of the one or more integrated client devices. The cache comprises a cache memory having multiple ways. The cache is configured to distinguish different memory requests using page-level attributes of respective page descriptors of the memory requests, and to allocate different portions of the cache memory to different respective memory requests.

Caching streams of memory requests

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a system-level cache to allocate cache resources by a way-partitioning process. One of the methods includes maintaining a mapping between partitions and priority levels and allocating primary ways to respective enabled partitions in an order corresponding to the respective priority levels assigned to the enabled partitions.

Way partitioning for a system-level cache

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a prefetch processing to prepare an ambient computing device to operate in a low-power state without waking a memory device. One of the methods includes performing, by an ambient computing device, a prefetch process that populates a cache with prefetched instructions and data required for the ambient computing device to process inputs to the system while in the low-power state, and entering the low-power state, and processing, by the ambient computing device in the low-power state, inputs to the system using the prefetched instructions and data stored in the cache.

Low-power cached ambient computing

Growing community of inventors

Sunnyvale, CA, United States of America

Vinod Chamarty