7:13 a.m.
Mark Silberstein
The Scalable Parallel Computing Lab's *SPCL_Bcast* seminar continues
with *Mark Silberstein**of **Technion* presenting on *The evolution of
accelerator-centric GPU services - past, present, future.*. Everyone is
welcome to attend (over Zoom)!
*When:* Thursday, 28th November, 6PM CET
*Where:* Zoom
Join <https://spcl.inf.ethz.ch/Bcast/join>
*Abstract:* GPUs have come a long way, evolving from gaming processors
to the main driving force behind modern AI systems. However, from a
system design perspective, they remain co-processors: they cannot
operate independently of the host CPU, which is necessary to invoke
kernels, manage GPU memory, perform data transfers, and interact with
I/O devices. Thus, beyond the complexity of optimizing individual
kernels, GPU-accelerated application development faces fundamental
challenges in integrating GPU computations into complex data and control
flows involving networking and storage. Since 2013, my students in the
Accelerated Computing Systems Group (https://acsl.group) have been
exploring an alternative, accelerator-centric system design in which a
GPU runs specially crafted OS layers that allow GPU kernels to access
files, storage devices, SmartNICs, and network services, without CPU
involvement in the data and/or control path. We have demonstrated how
such an approach simplifies the programming burden and achieves high
performance. In this talk, I will survey the key ideas of the
accelerator-centric design, discuss the main takeaways, and explore
future trends.
*Biography:* Mark Silberstein is a professor in the Electrical and
Computer Engineering Department at the Technion - Israel Institute of
Technology. His research interests span a broad range of topics in
computer systems, including OS, networking, computer architecture, and
systems security. His projects have been published in top systems
venues, with some winning awards and others being adopted by the
industry. He regularly serves on the program committees of leading
systems conferences, including as a program co-chair of Eurosys '24 and
ASPLOS '26.
More details & future talks <https://spcl.inf.ethz.ch/Bcast/>
Scalable Parallel Computing Lab (SPCL)
Department of Computer Science, ETH Zurich
Website <https://spcl.inf.ethz.ch> X(Twitter)
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GitHub <https://github.com/spcl>
