Jpmorgan Chase Bank, N.a.

Intel Corporation

Habana Labs Ltd.

Saurabh Tiwari

Tuhin Bhura

Shashanka Narayan

Ashwarya Gupta

Vikas Gautam

Ponnappa Ponjanda Appaiah

Kai Cheng

Ian M Steiner

Zhong-Ning George Cai

Santosh Chikoti

Vikas Kundalpady

Anand R Kumar

Bhaskar J Karmakar

Rajagopal Hariharan

A method includes receiving one or more input Artificial Intelligence (AI) networks, transforming the AI networks into respective graphs including interconnected logical operators, and mapping the graphs onto a design of a hardware accelerator including a plurality interconnected hardware engines. A performance of running the AI networks on the design of the hardware accelerator is simulated using a petri-net simulation.

Performance modeling and analysis of artificial intelligence (AI) accelerator architectures

In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query and a document identifier; determining, based on the document identifier, a document-type parameter; generating, based on metadata related to the document-type parameter, an optimized query; generating a query vector embedding from the optimized query; executing a lexical search on a document pool, wherein the lexical search is based on the optimized query, and wherein the lexical search returns a first document set; executing a contextual search on a vector database, wherein the contextual search is based on the query vector embedding and returns a second document set; and generating a targeted document set from the first document set and the second document set.

Systems and methods for generating a targeted document set for input to a generative model

In some aspects, the techniques described herein relate to a method including: receiving, at a platform, an electronic document and corresponding metadata; encoding the electronic document; sending the encoded document as a byte stream to a unit extraction service; decoding, by the unit extraction service, the byte stream into a string file; standardizing, by the unit extraction service, partition separation characters; determining, by the unit extraction service and based on the partition separation characters, a value of a first key; assigning, by the platform, a value of the corresponding metadata as a value of a second key; indexing the first key, the value of the first key, the second key, and the value of the second key in a search index; and providing a search function via an interface of the platform, wherein the search function searches the search index.

Systems and methods for document partitioning and partition labeling

In some aspects, the techniques described herein relate to a method including: determining a first, a second, and a third logical partition separation indicator in a string file, wherein the first logical partition separation indicator is for a first partition level, the second partition separation indicator is for a second level, and the third logical partition separation indicator is also for the first partition level, each in a partition hierarchy; setting a first variable value to a value of the first logical partition separation indicator and a second variable value to a value of the second logical partition separation indicator; writing the first variable value to a data structure and writing the second variable value to the data structure; persisting the data structure to a search index; and clearing the first variable value and the second variable value.

In an embodiment, the method provides receiving a memory access request for a demanded cache line from a processor of a plurality of processors; accessing coherency information associated with the demanded cache line from a memory unit by bringing in from a memory page in which the demanded cache line is stored, the memory page also including a directory line having coherency information corresponding to the demanded cache line; reading data associated with the demanded cache line in accordance with the coherency information; and returning the data to the processor.

In-memory, in-page directory cache coherency scheme

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Bengaluru, India

Saurabh Tiwari