公开(公告)号：US20190191168A1

公开(公告)日：2019-06-20

申请号：US15847093

申请日：2017-12-19

Applicant: GOOGLE LLC

Inventor： Aki Kuusela ,  Daniel Stodolsky ,  Juha Pekka Maaninen

IPC: H04N19/14 ,  H04N19/567 ,  H04N19/82

CPC classification number: H04N19/14 ,  H04N19/127 ,  H04N19/149 ,  H04N19/156 ,  H04N19/194 ,  H04N19/567 ,  H04N19/82

Abstract: Systems and methods are disclosed for encoding video. For example, methods may include: receiving a throughput setting; adjusting, based on the throughput setting, an effort level selection for an encoder to utilize multiple effort levels from a set of effort levels, wherein each effort level of the set of effort levels specifies parameters of the encoder that control processing time for a coding unit of video data; and encoding video data, using the encoder configured using effort levels identified by the effort level selection, to generate data of an encoded bitstream.

公开(公告)号：US20240231667A1

公开(公告)日：2024-07-11

申请号：US18152428

申请日：2023-01-10

Applicant: Google LLC

Inventor： Sheng Li ,  Sridhar Lakshmanamurthy ,  Norman Paul Jouppi ,  Martin Guy Dixon ,  Daniel Stodolsky ,  Quoc V. Le ,  Liqun Cheng ,  Erik Karl Norden ,  Parthasarathy Ranganathan

IPC: G06F3/06

CPC classification number: G06F3/0647 ,  G06F3/0611 ,  G06F3/067

Abstract: Aspects of the disclosure are directed to a heterogeneous machine learning accelerator system with compute and memory nodes connected by high speed chip-to-chip interconnects. While existing remote/disaggregated memory may require memory expansion via remote processing units, aspects of the disclosure add memory nodes into machine learning accelerator clusters via the chip-to-chip interconnects without needing assistance from remote processing units to achieve higher performance, simpler software stack, and/or lower cost. The memory nodes may support prefetch and intelligent compression to enable the use of low cost memory without performance degradation.