Texas Instruments Corporation

David E Smith

Timothy David Anderson

Kai Chirca

Matthew D Pierson

Joseph R Zbiciak

Mihir Narendra Mody

Pramod Kumar Swami

Kedar Satish Chitnis

Shyam Jagannathan

Ching-Yu Hung

Kumar Arrakutti Desappan

Paul Daniel Gauvreau

Deependra Talla

Nina L Smith

Gordon C Gravelle

Techniques for accessing memory by a memory controller, comprising receiving, by the memory controller, a memory management command to perform a memory management operation at a virtual memory address, translating the virtual memory address to a physical memory address, wherein the physical memory address comprises an address within a cache memory, and outputting an instruction to the cache memory based on the memory management command and the physical memory address.

Multicore shared cache operation engine

A computer-implemented method includes fetching a fetch-packet containing a first hyper-block from a first address of a memory. The fetch-packet contains a bitwise distance from an entry point of the first hyper-block to a predicted exit point. A first branch instruction of the first hyper-block is executed that corresponds to a first exit point. The first branch instruction includes an address corresponding to an entry point of a second hyper-block. Responsive to executing the first branch instruction, a bitwise distance from the entry point of the first hyper-block to the first exit point is stored. A program counter is moved from the first exit point of the first hyper-block to the entry point of the second hyper-block.

Exit history based branch prediction

Techniques including receiving configuration information for a trigger control channel of the one or more trigger control channels, the configuration information defining a first one or more triggering events, receiving a first memory management command, store the first memory management command, detecting a first one or more triggering events, and triggering the stored first memory management command based on the detected first one or more triggering events.

Techniques for executing machine learning (ML) models including receiving an indication to run an ML model on a processing core; receiving a static memory allocation for running the ML model on the processing core; determining that a layer of the ML model uses more memory than the static memory allocated; transmitting, to a shared memory, a memory request for blocks of the shared memory; receiving an allocation of the requested blocks; running the layer of the ML model using the static memory and the range of memory addresses; and outputting results of running the layer of the ML model.

Memory sharing for machine learning processing

A video processing apparatus includes a plurality of processing modules, each performing an image processing function, and a central memory interface. The central memory interface accepts read and write memory the said plurality of processing modules and issues burst memory access requests to an external memory by gathering plural memory access requests from the processing modules.

Video processing subsystem architecture

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Allen, TX, United States of America

David E Smith