公开(公告)号：US20240311357A1

公开(公告)日：2024-09-19

申请号：US18676201

申请日：2024-05-28

Applicant: MaxLinear, Inc.

Inventor： Mark Abrian Moran ,  Michael Ray Ham

IPC: G06F16/22 ,  G06F16/215

CPC classification number: G06F16/2255 ,  G06F16/215

Abstract: A system for calculating a fingerprint across a data set by identifying a data set to hash, the data set comprising a set of data blocks, generating, by a first hash engine, a first hash for each data block in the set of data blocks within the data set, and generating, by a second hash engine, a second hash for each data block in the set of data blocks within the data set.

公开(公告)号：US20220245112A1

公开(公告)日：2022-08-04

申请号：US17165915

申请日：2021-02-02

Applicant: MAXLINEAR, INC.

Inventor： Mark Abrian Moran ,  Michael Ray Ham

IPC: G06F16/22 ,  G06F16/215

Abstract: A system for calculating a fingerprint across a data set by identifying a data set to hash, the data set comprising a set of data blocks, generating, by a first hash engine, a first hash for each data block in the set of data blocks within the data set, and generating, by a second hash engine, a second hash for each data block in the set of data blocks within the data set.

公开(公告)号：US12174806B2

公开(公告)日：2024-12-24

申请号：US17165912

申请日：2021-02-02

Applicant: MAXLINEAR, INC.

Inventor： Mark Abrian Moran ,  Michael Ray Ham

IPC: G06F16/00 ,  G06F9/30 ,  G06F16/174 ,  G06F16/215 ,  G06F16/22 ,  G06F16/2455

Abstract: A system for calculating a fingerprint across a data set by identifying a data set to hash, the data set comprising a set of data blocks, identifying data within the data set to skip, generating, by a hash engine, a hash for each data block in the set of data blocks within the data set except for the data within the data set to skip, and compressing the data.

公开(公告)号：US20220245097A1

公开(公告)日：2022-08-04

申请号：US17165910

申请日：2021-02-02

Applicant: MAXLINEAR, INC.

Inventor： Mark Abrian Moran ,  Michael Ray Ham

IPC: G06F16/174 ,  G06F16/13 ,  G06F16/16

Abstract: A system for hashing a data set by identifying a data set to deduplicate based on a hash block size and to compress based on a compression block size, where the hash block size is smaller than the compression block size, defining a set of data blocks within the data set based on the hash block size, generating a hash for each data block in the set of data blocks within the data set, deduplicating a data block in the data set based on a respective hash for the data block, and compressing the data set based on the compression block size.

公开(公告)号：US20240338380A1

公开(公告)日：2024-10-10

申请号：US18596556

申请日：2024-03-05

Applicant: MAXLINEAR, INC.

Inventor： Pinaki Shankar Chanda ,  Michael Ray Ham

IPC: G06F16/25 ,  G06F21/60

CPC classification number: G06F16/258 ,  G06F21/602

Abstract: A method includes obtaining, by a data transform accelerator, first metadata. The method also includes configuring a first pipeline in the data transform accelerator using the first metadata. The method further includes obtaining input data to be transformed by the data transform accelerator. The method also includes generating encoded data and second metadata in the first pipeline using the input data and the first metadata. The encoded data and the second metadata may be stored together for later operations, such as decode operations. The method further includes configuring a second pipeline in the data transform accelerator using the second metadata.

公开(公告)号：US20240272925A1

公开(公告)日：2024-08-15

申请号：US18437225

申请日：2024-02-08

Applicant: MAXLINEAR, INC.

Inventor： Pinaki Shankar Chanda ,  Michael Ray Ham

IPC: G06F9/455

CPC classification number: G06F9/45558 ,  G06F2009/45575 ,  G06F2009/45583 ,  G06F2009/45587

Abstract: A method includes initializing a virtual machine including a virtual machine memory disposed in memory of a data transform accelerator. The method also includes obtaining an address associated with a data transform command. The address may be disposed in a container located in a first partition of the virtual machine memory. The method also includes obtaining metadata associated with the data transform command. A first portion of the metadata may be public data and a second portion of the metadata may be sensitive data. The method further includes storing the public data in the first partition and the sensitive data in a second partition of the virtual machine memory. The method also includes configuring a data transform pipeline in the data transform accelerator based on the public data in the first partition and the sensitive data in the second partition.

公开(公告)号：US20240193178A1

公开(公告)日：2024-06-13

申请号：US18348281

申请日：2023-07-06

Applicant: MaxLinear, Inc.

Inventor： Pinaki Shankar Chanda ,  Sasidhar Paruchuri ,  Michael Ray Ham

IPC: G06F16/25

CPC classification number: G06F16/258

Abstract: A method includes determining an address associated with a data transform command in a container data structure which is in the data transform accelerator. The data transform accelerator is in communication with a host computing unit. In response to a determination that the address is in the container data structure, the method includes accessing the data transform command based on the address. The data transform command is in the host computing unit. The method includes obtaining metadata based on information in the data transform command. The metadata is in the data transform accelerator or spread out in the host computing unit memory and in the memory of data transform accelerator. The method includes configuring a data transform pipeline based on the metadata. The metadata can be shared in its entirety or partially by multiple data transform commands grouped together.

公开(公告)号：US20250023579A1

公开(公告)日：2025-01-16

申请号：US18596549

申请日：2024-03-05

Applicant: MaxLinear, Inc.

Inventor： Pinaki Shankar Chanda ,  Michael Ray Ham

IPC: H03M7/30 ,  G06F3/06

Abstract: A method includes obtaining, by a data transform accelerator, a first command and first source data associated with the first command. The method also includes generating, by the data transform accelerator, one or more containers using the first command. Each of the one or more containers may have a container size and may be operable to store compressed source data. The method further includes obtaining a mode of operation for a data compression operation. The method also includes performing the data compression operation to a first portion of the first source data using the mode of operation to obtain the compressed source data. The method further includes storing the compressed source data in a first container of the one or more containers.

公开(公告)号：US20240273031A1

公开(公告)日：2024-08-15

申请号：US18437221

申请日：2024-02-08

Applicant: MAXLINEAR, INC.

Inventor： Pinaki Shankar Chanda ,  Michael Ray Ham

IPC: G06F12/10

CPC classification number: G06F12/10 ,  G06F2212/251

Abstract: A method includes obtaining an address associated with a data transform command. The address may be disposed in a container located in a first memory. The method also includes obtaining metadata associated with the data transform command. The data transform command may be disposed in the first memory and may be pointed to by the address. A first portion of the metadata may be public data and a second portion of the metadata may be sensitive data. The method further includes storing the public data in the first memory and the sensitive data in a second memory disposed internally to a data transform accelerator. The method also includes configuring a data transform pipeline in the data transform accelerator based on the public data in the first memory and the sensitive data in the second memory.

公开(公告)号：US20240119022A1

公开(公告)日：2024-04-11

申请号：US18484443

申请日：2023-10-10

Applicant: MaxLinear, Inc.

Inventor： Isaac Sitton ,  Ingo Volkening ,  Oren Bakshe ,  Pinaki Shankar Chanda ,  Michael Ray Ham

IPC: G06F13/42

CPC classification number: G06F13/4282

Abstract: A method includes obtaining data to process using at least one data transform operation. The method further includes determining a processing path for the data to traverse at least a first data transform engine and a second data transform engine. The method also includes directing the data to the first data transform engine. The first data transform engine is to perform a first data transform operation on the data. The method further includes directing the data to the second data transform engine, the second data transform engine to perform a second data transform operation on the data.