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17.06.2025
1 Stunde 7 Minuten
Dr. Ricardo Bianchini is a Technical Fellow and Corporate Vice
President at Microsoft Azure, where he leads the team responsible
for managing Azure’s compute workload, server capacity, and
datacenter infrastructure with a strong focus on efficiency and
sustainability. Before joining Azure, Ricardo led the
Systems Research Group and the Cloud Efficiency team at Microsoft
Research (MSR). He created research projects in power efficiency
and intelligent resource management that resulted in large-scale
production systems across Microsoft. Prior to Microsoft, he was a
Professor at Rutgers University, where he conducted research in
datacenter power and energy management, cluster-based systems,
and other cloud-related topics. Ricardo is a Fellow of both the
ACM and IEEE.
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17.03.2025
1 Stunde 8 Minuten
Dr. Arkaprava Basu is an Associate Professor at the Indian
Institute of Science, where he mentors students in the Computer
Systems Lab. Arka's research focuses on pushing the boundaries of
memory management and software reliability for both CPUs and
GPUs. His work spans diverse areas, from optimizing memory
systems for chiplet-based GPUs to developing innovative
techniques to eliminate synchronization bottlenecks in GPU
programs. He is also a recipient of the Intel Rising Star Faculty
Award, ACM India Early Career Award, and multiple other
accolades, recognizing his innovative approaches to enhancing GPU
performance, programmability, and reliability.
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17.12.2024
54 Minuten
Dr. Dan Sorin is a Professor of Electrical and Computer
Engineering at Duke University, and a co-founder of Realtime
Robotics. Dan is widely known for his pioneering work in memory
systems. He has co-authored the seminal Primer on Memory
Consistency and Cache Coherence, which has become a foundational
resource for students and researchers alike. Dan’s contributions
span from developing resilient systems that tolerate hardware
faults to innovations in cache coherence protocols, and has been
recognized by multiple best paper awards and patents. His work at
Realtime Robotics has pushed the boundaries of autonomous motion
planning, enabling real-time decision-making in dynamic
environments.
Mehr
03.09.2024
60 Minuten
Dr. Vijay Janapa Reddi is an Associate Professor at Harvard
University, and Vice President and Co-founder of MLCommons. He
has made substantial contributions to mobile and edge computing
systems, and played a key role in developing the MLPerf
Benchmarks. Vijay has authored the machine learning systems book
mlsysbook.ai, as part of his twin passions of education and
outreach. He received the IEEE TCCA Young Computer Architect
Award in 2016, has been inducted in the MICRO and HPCA Halls of
Fame, and is a recipient of multiple best paper awards.
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19.06.2024
1 Stunde 6 Minuten
Dr. Carole-Jean Wu is a Director of AI Research at Meta. She is a
founding member and a Vice President of MLCommons – a non-profit
organization that aims to accelerate machine learning innovations
for the benefits of all. Dr. Wu also serves on the MLCommons
Board as a Director, chaired the MLPerf Recommendation Benchmark
Advisory Board, and co-chaired for MLPerf Inference. Prior to
Meta/Facebook, Dr. Wu was a professor at ASU. She earned her M.A.
and Ph.D. degrees in Electrical Engineering from Princeton
University and a B.Sc. degree in Electrical and Computer
Engineering from Cornell University. Dr. Wu’s expertise
sits at the intersection of computer architecture and machine
learning. Her work spans across datacenter infrastructures and
edge systems, such as developing energy- and memory-efficient
systems and microarchitectures, optimizing systems for machine
learning execution at-scale, and designing learning-based
approaches for system design and optimization. She is passionate
about pathfinding and tackling system challenges to enable
efficient and responsible AI technologies.
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Über diesen Podcast
A show that brings you closer to the cutting edge in computer
architecture and the remarkable people behind it. Hosted by Dr.
Suvinay Subramanian, who is a computer architect at Google in the
Systems Infrastructure group, working on designing Google’s machine
learning accelerators (TPU), and Dr. Lisa Hsu who is a Principal
Engineer at Microsoft in the Azure Compute group, working on
strategic initiatives for datacenter deployment.
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