Oracle America, Inc.

Sun Microsystems, Inc.

Yoganand Chillarige

Sanjay Patel

Prashant Jain

Srinivasan R Iyengar

Sandip Das

Shukur Moulali Pathan

Ban Pak Wong

Shivakumar Sompur

Cynthia Tran

Sanjay Dubey

A processor may include several processor cores, each including a respective higher-level cache; a lower-level cache including several tag units each including several controllers, where each controller corresponds to a respective cache bank configured to store data, and where the controllers are concurrently operable to access their respective cache banks; and an interconnect network configured to convey data between the cores and the lower-level cache. The controllers in a given tag unit may share access to a resource that may include one or more of an interconnect egress port coupled to the interconnect network, an interconnect ingress port coupled to the interconnect network, a test controller, or a data storage structure.

Resource sharing to reduce implementation costs in a multicore processor

A processor may include several processor cores, each including a respective higher-level cache; a lower-level cache including several tag units each including several controllers, where each controller corresponds to a respective cache bank configured to store data, and where the controllers are concurrently operable to access their respective cache banks; and an interconnect network configured to convey data between the cores and the lower-level cache. The controllers may share access to an interconnect egress port coupled to the interconnect network, and may generate multiple concurrent requests to convey data via the shared port, where each of the requests is destined for a corresponding core, and where a datapath width of the port is less than a combined width of the multiple requests. The given tag unit may arbitrate among the controllers for access to the shared port, such that the requests are transmitted to corresponding cores serially rather than concurrently.

An arithmetic logic unit (ALU) implemented with complementary pass gate logic using propagate, generate, and kill is provided. Broadly speaking, the ALU is a 64-bit ALU using a multi-stage global carry chain to generate intermediate fourth-bit carries that are folded with local four-bit sums to efficiently generate a final sum output. The ALU implements ones complement subtraction by incorporating a subtraction select signal to invert each bit of a second operand. The ALU circuitry implements a push-pull methodology to improve performance.

Complementary pass gate logic implementation of 64-bit arithmetic logic unit using propagate, generate, and kill

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Sunnyvale, CA, United States of America

Yoganand Chillarige