Texas Instruments Corporation

Jonathan (Son) Hung Tran

Abhijeet Ashok Chachad

Joseph Raymond Michael Zbiciak

Timothy David Anderson

David Matthew Thompson

Raguram Damodaran

Kai Chirca

Daniel Brad Wu

Krishna Chaithanya Gurram

Joseph R Zbiciak

Naveen Bhoria

Ramakrishnan Venkatasubramanian

Sanjive Agarwala

A stream of data is accessed from a memory system using a stream of addresses generated in a first mode of operating a streaming engine in response to executing a first stream instruction. A block cache management operation is performed on a cache in the memory using a block of addresses generated in a second mode of operating the streaming engine in response to executing a second stream instruction.

Cache management operations using streaming engine

In some examples, a circuit includes an interface configured to couple to a memory that includes a set of outputs to provide a set of data from the memory. The circuit further includes a rotator coupled to the interface that includes a first set of multiplexors that each include a set of inputs coupled to the set of outputs of the interface and an output. The circuit further includes a storage circuit coupled to the rotator that includes a register file coupled to the outputs of the first set of multiplexors an alignment network. The alignment network includes a second set of multiplexors that each include a set of inputs coupled to the register file and an output.

Storage organization for transposing a matrix using a streaming engine

A streaming engine in a system receives a first set of stream parameters into a queue to define a first stream along with an indication of either a queue mode of operation or a speculative mode of operation for the first stream. Acquisition of the first stream then begins. At some point, a second set of stream parameters is received into the queue to define a second stream. When the queue mode of operation was specified for the first stream, the second set of parameters is queued and acquisition of the second stream is delayed until completion of acquisition of the first stream. When the speculative mode of operation was specified for the first stream, acquisition of the first stream is canceled upon receipt of the second set of stream parameters and acquisition of the second stream begins immediately.

Mechanism to queue multiple streams to run on streaming engine

A stream of data is accessed from a memory system using a stream of addresses generated in a first mode of operating a streaming engine in response to executing a first stream instruction. A block cache preload operation is performed on a cache in the memory using a block of addresses generated in a second mode of operating the streaming engine in response to executing a second stream instruction.

Cache preload operations using streaming engine

A steaming engine in a system receives a first set of stream parameters into a queue to define a first stream along with an indication of either a queue mode of operation or a speculative mode of operation for the first stream. Acquisition of the first stream then begins. At some point, a second set of stream parameters is received into the queue to define a second stream. When the queue mode of operation was specified for the first stream, the second set of parameters is queued and acquisition of the second stream is delayed until completion of acquisition of the first stream. When the speculative mode of operation was specified for the first stream, acquisition of the first stream is canceled upon receipt of the second set of stream parameters and acquisition of the second stream begins immediately.

Software instructions are executed on a processor within a computer system to configure a steaming engine to operate in either a linear mode or a transpose mode. A stream of addresses is generated using an address generator, in which the stream of addresses includes consecutive nested loop iterations for at least a first loop and a second loop. While in the linear mode, the first loop is treated as an inner loop. While in the transpose mode, the second loop is treated as the inner loop. A matrix can be fetched from memory in the linear mode to provide row-wise vectors. A matrix can be fetched from the memory in the transpose mode to provide column wise vectors.

Transposing a matrix using a streaming engine

Software instructions are executed on a processor within a computer system to configure a steaming engine to operate in either a linear mode or a transpose mode. A stream of addresses is generated using an address generator, in which the stream of addresses includes consecutive nested loop iterations for at least a first loop and a second loop. While in the linear mode, the first loop is treated as an inner loop. While in the transpose mode, the second loop is treated as the inner loop. A matrix can be fetched from memory in the linear mode to provide row-wise vectors. A matrix can be fetched from the memory in the transpose mode to provide column wise vectors. Local storage on the streaming engine is organized as sectors based on the number of rows in the matrix to allow overlapping transposition processing and to minimize memory accesses.

This invention is data processing apparatus and method. Data is protecting from corruption using an error correction code by generating an error correction code corresponding to the data. In this invention the data and the corresponding error correction code are carried forward to another set of registers without regenerating the error correction code or using the error correction code for error detection or correction. Only later are error correction detection and correction actions taken. The differing data/error correction code registers may be in differing pipeline phases in the data processing apparatus. This invention forwards the error correction code with the data through the entire datapath that carries the data. This invention provides error protection to the whole datapath without requiring extensive hardware or additional time.

Protection of memories, datapath and pipeline registers, and other storage elements by distributed delayed detection and correction of soft errors

This invention optimizes DMA writes to directly addressable level two memory that is cached in level one and the line is valid and dirty. When the level two controller detects that a line is valid and dirty in level one, the level two memory need not update its copy of the data. Level one memory will replace the level two copy with a victim writeback at a future time. Thus the level two memory need not store write a copy. This limits the number of DMA writes to level two directly addressable memory and thus improves performance and minimizes dynamic power. This also frees the level two memory for other master/requestors.

Performance and power improvement on DMA writes to level two combined cache/SRAM that is cached in level one data cache and line is valid and dirty

This invention assures cache coherence in a multi-level cache system upon eviction of a higher level cache line. A victim buffer stored data on evicted lines. On a DMA access that may be cached in the higher level cache the lower level cache sends a snoop write. The address of this snoop write is compared with the victim buffer. On a hit in the victim buffer the write completes in the victim buffer. When the victim data passes to the next cache level it is written into a second victim buffer to be retired when the data is committed to cache. DMA write addresses are compared to addresses in this second victim buffer. On a match the write takes place in the second victim buffer. On a failure to match the controller sends a snoop write.

Level one data cache line lock and enhanced snoop protocol during cache victims and writebacks to maintain level one data cache and level two cache coherence

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Murphy, TX, United States of America

Jonathan (Son) Hung Tran