Inventor profile of:

Justin E. Gottschlich

City:

Santa Clara, California

Country:

United States

Published Applications:

64

Last publication date:

2026-05-07

Top Assignees for applications by Justin E. Gottschlich

The entities that hold a legal rights for patent applications filed by inventor Gottschlich Justin E.:

Recent patent applications by Gottschlich Justin E.

Justin E. Gottschlich from Santa Clara, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2026-05-07
US20260127702A1
Physics

COORDINATION AND INCREASED UTILIZATION OF GRAPHICS PROCESSORS DURING INFERENCE

#2 | 2025-05-22
US20250166115A1
Physics

COMPUTE OPTIMIZATION MECHANISM FOR DEEP NEURAL NETWORKS

#3 | 2025-02-20
US20250061534A1
Physics

PROGRAMMABLE COARSE GRAINED AND SPARSE MATRIX COMPUTE HARDWARE WITH ADVANCED SCHEDULING

#4 | 2024-08-01
US20240257294A1
Physics

Compute optimization mechanism for deep neural networks

#5 | 2024-03-14
US20240086683A1
Physics

NEURAL NETWORK SCHEDULING MECHANISM

#6 | 2024-01-11
US20240013337A1
Physics

COORDINATION AND INCREASED UTILIZATION OF GRAPHICS PROCESSORS DURING INFERENCE

#7 | 2023-12-07
US20230394616A1
Physics

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

#8 | 2023-10-19
US20230334316A1
Physics

DYNAMIC DISTRIBUTED TRAINING OF MACHINE LEARNING MODELS

#9 | 2023-08-17
US20230260072A1
Physics

Compute optimization mechanism for deep neural networks

#10 | 2023-02-09
US20230039729A1
Physics

AUTONOMOUS VEHICLE NEURAL NETWORK OPTIMIZATION

#11 | 2023-01-12
US20230012451A1
Physics

METHODS AND APPARATUS TO GENERATE ANOMALY DETECTION DATASETS

#12 | 2022-11-17
US20220366527A1
Physics

Coordination and increased utilization of graphics processors during inference

#13 | 2022-10-20
US20220335562A1
Physics

Compute optimization mechanism for deep neural networks

#14 | 2022-10-13
US20220327357A1
Physics

Neural network scheduling mechanism

#15 | 2022-05-26
US20220164916A1
Physics

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

#16 | 2022-05-19
US20220156876A1
Physics

Compute optimization mechanism for deep neural networks

#17 | 2022-03-17
US20220084329A1
Physics

Autonomous vehicle advanced sensing and response

#18 | 2021-12-16
US20210390654A1
Physics

Efficient sharing and compression expansion of data across processing systems

#19 | 2021-11-11
US20210350499A1
Physics

Compute optimization mechanism for deep neural networks

#20 | 2021-09-23
US20210294649A1
Physics

Extend GPU/CPU coherency to multi-GPU cores

#21 | 2021-09-09
US20210279571A1
Physics

NEURAL NETWORK OPTIMIZATION MECHANISM

#22 | 2021-08-05
US20210241417A1
Physics

Compute optimization mechanism for deep neural networks

#23 | 2021-07-01
US20210201438A1
Physics

Coordination and increased utilization of graphics processors during inference

#24 | 2021-02-04
US20210035255A1
Physics

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

#25 | 2020-12-17
US20200394498A1
Physics

Neural network scheduling mechanism

#26 | 2020-07-02
US20200210338A1
Physics

Extend GPU/CPU coherency to multi-GPU cores

#27 | 2020-06-25
US20200202480A1
Physics

Efficient sharing and compression expansion of data across processing systems

#28 | 2020-01-30
US20200034946A1
Physics

Compute optimization mechanism for deep neural networks

#29 | 2020-01-16
US20200019844A1
Physics

Smart autonomous machines utilizing cloud, error corrections, and predictions

#30 | 2019-10-17
US20190318550A1
Physics

Autonomous vehicle advanced sensing and response

#31 | 2019-09-26
US20190295211A1
Physics

Coordination and increased utilization of graphics processors during inference

#32 | 2019-08-08
US20190243764A1
Physics

Extend GPU/CPU coherency to multi-GPU cores

#33 | 2019-05-09
US20190139182A1
Physics

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

#34 | 2018-11-15
US20180330253A1
Physics

Methods and apparatus to generate anomaly detection datasets

#35 | 2018-11-01
US20180315158A1
Physics

Programmable coarse grained and sparse matrix compute hardware with advanced scheduling

#36 | 2018-11-01
US20180314250A1
Physics

Autonomous machines through cloud, error corrections, and predictions

#37 | 2018-11-01
US20180314249A1
Physics

Storage management for machine learning at autonomous machines

#38 | 2018-10-25
US20180308208A1
Physics

Compute optimization mechanism for deep neural networks

#39 | 2018-10-25
US20180308206A1
Physics

Compute optimization mechanism for deep neural networks

#40 | 2018-10-25
US20180308203A1
Physics

Efficient sharing and compression expansion of data across processing systems

#41 | 2018-10-25
US20180308202A1
Physics

Coordination and increased utilization of graphics processors during inference

#42 | 2018-10-25
US20180308200A1
Physics

Compute optimization mechanism for deep neural networks

#43 | 2018-10-25
US20180307984A1
Physics

Dynamic distributed training of machine learning models

#44 | 2018-10-25
US20180307983A1
Physics

Neural network optimization mechanism

#45 | 2018-10-25
US20180307981A1
Physics

Neural network training mechanism

#46 | 2018-10-18
US20180300964A1
Physics

Autonomous vehicle advanced sensing and response

#47 | 2018-10-18
US20180300246A1
Physics

Extend GPU/CPU coherency to multi-GPU cores

#48 | 2018-10-18
US20180299841A1
Physics

AUTONOMOUS VEHICLE NEURAL NETWORK OPTIMIZATION

#49 | 2018-10-11
US20180293490A1
Physics

Neural network scheduling mechanism

#50 | 2018-06-21
US20180173563A1
Physics

Dynamic runtime task management

#51 | 2016-12-22
US20160371036A1
Physics

Transactional memory management techniques

#52 | 2016-10-13
US20160299760A1
Physics

Methods and systems for performing a replay execution

#53 | 2016-09-29
US20160283302A1
Physics

Technologies for root cause identification of use-after-free memory corruption bugs

#54 | 2016-08-11
US20160232077A1
Physics

Techniques for detecting race conditions

#55 | 2016-06-23
US20160179569A1
Physics

Apparatus and method for a profiler for hardware transactional memory programs

#56 | 2015-10-01
US20150277968A1
Physics

Software replayer for transactional memory programs

#57 | 2015-10-01
US20150277967A1
Physics

Enabling maximum concurrency in a hybrid transactional memory system

#58 | 2015-07-02
US20150186178A1
Physics

Processor with transactional capability and logging circuitry to report transactional operations

#59 | 2015-06-18
US20150169362A1
Physics

Unbounded transactional memory with forward progress guarantees using a hardware global lock

#60 | 2015-04-09
US20150100741A1
Physics

Transactional memory management techniques

#61 | 2015-03-12
US20150074366A1
Physics

Apparatus and method for improved lock elision techniques

#62 | 2014-12-11
US20140366006A1
Physics

VISUALIZING RECORDED EXECUTIONS OF MULTI-THREADED SOFTWARE PROGRAMS FOR PERFORMANCE AND CORRECTNESS

#63 | 2014-09-18
US20140281274A1
Physics

Shared memory interleavings for instruction atomicity violations

#64 | 2014-03-27
US20140089642A1
Physics

Replay execution of instructions in thread chunks in the chunk order recorded during previous execution

InventorID:

707004 ⎘