Nizhny Novgorod, Russia

Zakhar A Matveev

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zakhar A Matveev. Retrieved from https://idiyas.com/inventor/zakhar-a-matveev

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zakhar A. Matveev: Inventor in Heterogeneous Computing

Introduction

Zakhar A. Matveev is an inventor associated with Nizhny Novgorod, Russia, and Intel Corporation. His patent work concerns identifying program code that can benefit from execution on an accelerator in a heterogeneous computing system.

Latest Patents

The available information lists 1 patent for Matveev: “Code Objects Offload Based on Accelerator, Accelerator Cache and Data Transfer Metrics.” The invention describes an offload analyzer that uses runtime measurements from a host processor and estimated accelerator performance to identify code objects for offloading. It compares estimated accelerated execution times, including offload overhead, with host execution times. The approach can also select additional code objects through a bottom-up traversal of a call tree and can generate a heterogeneous version of the program.

Career Highlights

Matveev is associated with Intel Corporation. His listed patent reflects work on performance estimation and code selection for programs designed to run across host processors and accelerators.

Collaborations

The provided information names Kermin E. ChoFleming, Jr. and Egor A. Kazachkov as Matveev’s coworkers. Their inclusion indicates professional associations, but the available details do not specify their roles in the patent.

Conclusion

Zakhar A. Matveev’s listed invention addresses how software can be analyzed and adapted to use accelerators efficiently, with performance estimates guiding which code objects should be offloaded.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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