Robert Elliott
Director Of Applied Machine Learning at Arm
Cambridge, England, United Kingdom
Summary
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RockstarRobert Elliott is Director of Applied Machine Learning at Arm with nine years of experience focused on solving challenging ML problems and optimizing their deployment on Arm platforms. He blends strategic leadership with hands-on engineering, driving practical ML solutions that leverage hardware-specific features for performance and efficiency. His open-source contributions include extending KhronosGroup's OpenCL headers with ARM-specific memory import and shared virtual memory extensions, highlighting a deep understanding of low-level integration between software and architecture. Based in Cambridge, he excels at translating complex machine learning requirements into production-ready systems that maximally exploit Arm hardware capabilities.
9 years of coding experience
Github Skills (6)
opencl10
arm10
api-design9
c119
c179
memory-management9
Programming languages (3)
Github contributions (5)
KhronosGroup/OpenCL-Headers
Jun 2016 - Jun 2016
Khronos OpenCL-Headers
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits in 1 day
Contributions summary:Robert contributed to the OpenCL-Headers repository by adding extensions related to ARM-specific features, particularly focusing on memory import and shared virtual memory. These extensions introduce new functions, definitions, and capabilities designed for ARM-based architectures, enabling direct memory access and shared virtual memory management within OpenCL. The user’s work involved modifying header files to incorporate these extensions, making the OpenCL API more compatible with ARM's hardware features. This suggests a focus on enhancing OpenCL's functionality for specific hardware platforms.
headerskhronosopencl
robell/executorch
Oct 2023 - Mar 2025
Contributions:78 pushes, 46 branches in 1 year 5 months
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