中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

36 records (took 0.017 seconds)

    Systems and methods for a hybrid parallel-serial memory access
    14.
    发明授权
    Systems and methods for a hybrid parallel-serial memory access 有权

    公开(公告)号：US09747038B2

    公开(公告)日：2017-08-29

    申请号：US14956728

    申请日：2015-12-02

    Applicant: QUALCOMM INCORPORATED

    Inventor： Javid Jaffari ,  Amin Ansari ,  Rodolfo Beraha

    IPC: G06F3/06

    CPC classification number: G06F3/061 ,  G06F3/0635 ,  G06F3/0658 ,  G06F3/0679 ,  G06F13/1684 ,  G06F13/1694 ,  G06F13/4234

    Abstract: Systems and methods are disclosed for a hybrid parallel-serial memory access by a system on chip (SoC). The SoC is electrically coupled to the memory by both a parallel access channel and a separate serial access channel. A request for access to the memory is received. In response to receiving the request to access the memory, a type of memory access is identified. A determination is then made whether to access the memory with the serial access channel. In response to the determination to access the memory with the serial access channel, a first portion of the memory is accessed with the parallel access channel, and a second portion of the memory is accessed with the serial access channel.

    System, apparatus, and method for decompressing data
    15.
    发明授权
    System, apparatus, and method for decompressing data 有权
    用于解压缩数据的系统，装置和方法

    公开(公告)号：US09413386B1

    公开(公告)日：2016-08-09

    申请号：US14626905

    申请日：2015-02-19

    Applicant: QUALCOMM Incorporated

    Inventor： Richard Senior ,  Amin Ansari ,  Jinxia Bai ,  Vito Bica

    IPC: H03M7/30

    CPC classification number: H03M7/3088 ,  H03M7/30 ,  H03M7/3086 ,  H03M7/6005

    Abstract: A system for data decompression may include a processor coupled to a remote memory having a remote dictionary stored thereon and coupled to a decompression logic having a local memory with a local dictionary. The processor may decompress data during execution by accessing the local dictionary, and if necessary, the remote dictionary.

    Abstract translation: 用于数据解压缩的系统可以包括耦合到具有存储在其上的远程字典的远程存储器的处理器，并且耦合到具有本地字典的本地存储器的解压缩逻辑。 处理器可以在执行期间通过访问本地字典来解压缩数据，并且如果需要，可以对远程字典进行解压缩。

    Compressed caching in a virtual memory system
    16.
    发明授权
    Compressed caching in a virtual memory system 有权
    在虚拟内存系统中压缩缓存

    公开(公告)号：US09344114B1

    公开(公告)日：2016-05-17

    申请号：US14832739

    申请日：2015-08-21

    Applicant: QUALCOMM INCORPORATED

    Inventor： Adrienne Milner ,  Amin Ansari ,  Richard Senior ,  Vito Remo Bica

    IPC: H03M7/38 ,  H03M7/40 ,  H03M7/48 ,  H03M7/30 ,  H04N19/61

    CPC classification number: H03M7/4062 ,  G06F2212/401 ,  H03M7/30 ,  H03M7/3084 ,  H03M7/4006 ,  H03M7/42 ,  H03M7/48 ,  H04N19/423 ,  H04N19/91

    Abstract: Data compression systems, methods, and computer program products are disclosed. For each successive input word of an input stream, it is determined whether the input word matches an entry in a lookback table. The lookback table is updated in response to the input word. Input words may be of a number of data types, including zero runs and full or partial matches with an entry in the lookback table. A codeword is generated by entropy encoding a data type corresponding to the input word. The lookback table may be indexed by the position of the input word in the input stream.

    Abstract translation: 公开了数据压缩系统，方法和计算机程序产品。 对于输入流的每个连续输入字，确定输入字是否与回溯表中的条目匹配。 响应于输入字更新回溯表。 输入字可以是数据类型的数量，包括零运行，以及与回溯表中的条目的完全或部分匹配。 通过对对应于输入字的数据类型进行熵编码来生成码字。 回溯表可以由输入流中的输入字的位置索引。

    System and method for dictionary-based cache-line level code compression for on-chip memories using gradual bit removal
    17.
    发明授权
    System and method for dictionary-based cache-line level code compression for on-chip memories using gradual bit removal 有权
    用于基于字典的缓存线级代码压缩的系统和方法，用于使用逐位删除的片上存储器

    公开(公告)号：US09300320B2

    公开(公告)日：2016-03-29

    申请号：US14318564

    申请日：2014-06-27

    Applicant: QUALCOMM INCORPORATED

    Inventor： Amin Ansari ,  Vito Bica ,  Richard Senior

    IPC: H03M7/30 ,  H04N19/00 ,  G06F12/08

    CPC classification number: H03M7/3064 ,  G06F12/0886 ,  G06F2212/401 ,  H03M7/30 ,  H03M7/3084 ,  H03M7/3086 ,  H03M7/6058 ,  H04N19/00

    Abstract: A multi-pass compression iteratively removes combinations of bits from locations in each word of a cache line of an uncompressed data stream. For each combination of removed bits, the remaining bits in the word values of the cache line are analyzed to generate a compression score. A highest compression score triggers the building of a dictionary from the remaining bits in the word values of the cache line. After a dictionary is built, the method may continue iteratively to create subsequent dictionaries from the words that remain uncompressed in the cache line. To decompress a word, a first bit section of the compressed word is used to identify a dictionary that is then queried for bits indexed in a second bit section of the compressed word. The uncompressed word is reconstructed by interleaving the queried bits with the removed combination of bits from a third bit section of the word.

    Abstract translation: 多遍压缩迭代地从未压缩的数据流的高速缓存线的每个字中的位置中去除位的组合。 对于删除位的每个组合，分析高速缓存行的字值中的剩余位以产生压缩分数。 最高的压缩分数触发从高速缓存行的单词值中的其余位构建字典。 在构建字典之后，该方法可以继续迭代地从在高速缓存行中保持未压缩的单词创建后续字典。 为了对字进行解压缩，使用压缩字的第一比特部分来识别字典，然后在压缩字的第二比特部分中对索引的比特进行查询。 通过将查询的比特与从单词的第三比特部分中去除的比特组合进行交织来重构未压缩的单词。

    USING LIDAR OBJECTNESS TO ADDRESS VEHICLE SLICING IN SUPERVISED DEPTH ESTIMATION
    19.
    发明申请
    USING LIDAR OBJECTNESS TO ADDRESS VEHICLE SLICING IN SUPERVISED DEPTH ESTIMATION 有权

    公开(公告)号：US20240367674A1

    公开(公告)日：2024-11-07

    申请号：US18310403

    申请日：2023-05-01

    Applicant: QUALCOMM Incorporated

    Inventor： Sai Madhuraj Jadhav ,  Amin Ansari ,  Yunxiao Shi ,  Avdhut Joshi

    IPC: B60W60/00 ,  G06T7/13 ,  G06T7/521

    Abstract: Example systems and techniques are described for controlling operation of a vehicle and training a machine learning model for controlling operation of a vehicle. A system includes memory configured to store point cloud data associated with the vehicle and one or more processors communicatively coupled to the memory. The one or more processors are configured to determine a depth map indicative of distance of one or more objects to the vehicle and control operation of a vehicle based on the depth map. The depth map is based on executing a machine learning model, the machine learning model being trained with a slice loss function determined from training point cloud data having a respective depth that is greater than the average depth for a set of points of the point cloud data plus a threshold.

Patent Agency Ranking