Systems: Optimizing the Stack for Energy Efficiency: Open-Source Solutions to Hardware/Software Co-Design | Kisaco Research
Session Topics: 
Systems Optimization
Speaker(s): 

Author:

Apala Guha

Principal AI Architect
Microsoft

Apala Guha is Principal AI Architect at Microsoft. In her current role, she studies AI model architectures and analyzes their behavior and performance on GPUs. With these insights, she co-designs SoCs, systems and compilers for Azure AI. In the past, she was part of AI hardware development at Tenstorrent and Lightmatter. She has a PhD in Computer Engineering from University of Virginia and has held several academic research positions on accelerator compilers.

Apala Guha

Principal AI Architect
Microsoft

Apala Guha is Principal AI Architect at Microsoft. In her current role, she studies AI model architectures and analyzes their behavior and performance on GPUs. With these insights, she co-designs SoCs, systems and compilers for Azure AI. In the past, she was part of AI hardware development at Tenstorrent and Lightmatter. She has a PhD in Computer Engineering from University of Virginia and has held several academic research positions on accelerator compilers.

Author:

James Kelly

VP Market Intelligence & Innovation
Open Compute Project

James joined the OCP Foundation staff in 2024 as VP Market Intelligence and Innovation, working with technology leaders in the community and augmenting the foundation’s directional strategy, innovation efforts and marketing. His contributions to the OCP proceed from over two decades of experience in technology research, engineering, product management and marketing.

James Kelly

VP Market Intelligence & Innovation
Open Compute Project

James joined the OCP Foundation staff in 2024 as VP Market Intelligence and Innovation, working with technology leaders in the community and augmenting the foundation’s directional strategy, innovation efforts and marketing. His contributions to the OCP proceed from over two decades of experience in technology research, engineering, product management and marketing.

Time: 
2:30 PM - 3:10 PM
Agenda Track No.: 
Track 1
Session Type: 
Track
Session Stage: