Mips Tech Limited

Other

Mips Technologies, Inc.

James Hippisley Robinson

Sanjay Patel

Morgyn Taylor

Ranjit Joseph Rozario

David Yiu-Man Lau

Erik K Norden

Sudhakar Ranganathan

Richard Fuhler

Matthew Fortune

Andrew F Glew

Techniques for mixed-precision data manipulation for neural network data computation are disclosed. A first left group comprising eight bytes of data and a first right group of eight bytes of data are obtained for computation using a processor. A second left group comprising eight bytes of data and a second right group of eight bytes of data are obtained. A sum of products is performed between the first left and right groups and the second left and right groups. The sum of products is performed on bytes of 8-bit integer data. A first result is based on a summation of eight values that are products of the first group's left eight bytes and the second group's left eight bytes. A second result is based on the summation of eight values that are products of the first group's left eight bytes and the second group's right eight bytes. Results are output.

Neural network data computation using mixed-precision

In one embodiment, a method includes accessing a virtual address from a request to access a memory of the computing device, where virtual addresses are translated to physical addresses of physical memory in the computing device using an N-level page table, and the lowest level of the page table contains page-table entries specifying the physical address of a frame of physical memory. The method includes searching, using the virtual address, a translation lookaside buffer (TLB) including a plurality of TLB entries, each TLB entry including (1) a tag identifying a virtual address associated with the entry and (2) a page-table entry specifying the physical address of a lower-level page table or of a frame of physical memory associated with the virtual address identified in the tag; and iteratively performing, until the virtual address is translated to a physical address, an address-translation procedure that depends on the cached TLB entries.

Translating virtual memory addresses to physical memory addresses

Instruction set architectures (ISAs) and apparatus and methods related thereto comprise an instruction set that includes one or more instructions which identify the global pointer (GP) register as an operand (e.g., base register or source register) of the instruction. Identification can be implicit. By implicitly identifying the GP register as an operand of the instruction, one or more bits of the instruction that were dedicated to explicitly identifying the operand (e.g., base register or source register) can be used to extend the size of one or more other operands, such as the offset or immediate, to provide longer offsets or immediates.

Implicit global pointer relative addressing for global memory access

A binary logic circuit for manipulating an input binary string includes a first stage of a first group of multiplexers arranged to select respective portions of an input binary string and configured to receive a respective first control. A second stage is included in which a plurality of a second group of multiplexers is arranged to select respective portions of the input binary string and configured to receive a respective second control signal. The control signals are provided such that each multiplexer of a second group is configured to select a respective second portion of the first binary string. Control circuitry is configured to generate the first and second control signals such that two or more of the first groups and/or two or more of the second groups of multiplexers are independently controllable.

Unified logic for aliased processor instructions

A system and method process atomic instructions. A processor system includes a load store unit (LSU), first and second registers, a memory interface, and a main memory. In response to a load link (LL) instruction, the LSU loads first data from memory into the first register and sets an LL bit (LLBIT) to indicate a sequence of atomic instructions is being executed. The LSU further loads second data from memory into the second register in response to a load (LD) instruction. The LSU places a value of the second register into the memory interface in response to a store conditional coupled (SCX) instruction. When the LLBIT is set and in response to a store (SC) instruction, the LSU places a value of the second register into the memory interface and commits the first and second register values in the memory interface into the main memory when the LLBIT is set.

Processors supporting atomic writes to multiword memory locations and methods

A processing system is provided consisting of an interrupt pin, multiple registers, a stack pointer, and an automatic interrupt system. The multiple registers store a number of processor states values. When the system detects an interrupt on the interrupt pin the system prepares to enter an exception mode where the automatic interrupt system causes an interrupt vector to be fetched, the stack pointer to be updated, and the processor state values to be read in parallel from the registers and stored in memory locations based on the updated stack pointer, prior to the execution of an interrupt service routine. A method for automatic hardware interrupt handling is also presented.

System and method for automatic hardware interrupt handling

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New York, NY, United States of America

James Hippisley Robinson