Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Optimized asynchronous training of neural networks using a distributed parameter server with eager updates

Optimized asynchronous training of neural networks using a distributed parameter server with eager updates

US Patent 11630994 · Granted Apr 18, 2023

Estimated economic value: $180,875,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Process isolation for a processor-in-memory (“PIM”) device2025
Non-blocking parallel bulk memory operations2025
Low latency offloading of collectives over a switch2025
Data co-location using address hashing for high-performance processing in memory2024
Efficient memory-semantic networking using scoped memory models2024
Efficient memory-semantic networking using scoped memory models2024
Systems and methods for reducing instruction code memory footprint for multiple 2024
Systems and methods for reducing instruction code memory footprint for multiple 2024
Memory latency-aware GPU architecture2024
Virtual partitioning a processor-in-memory (“PIM”)2024
Process isolation for a processor-in-memory (“PIM”) device2024
Partition and isolation of a processing-in-memory (PIM) device2024