Please join us Thursday (28/1) at 3pm UTC for Prof David A. Bader, New Jersey Institute of Technology, online talk "Solving Global Grand Challenges with High Performance Data Analytics" https://t.co/NB4GLL1wjP
Please join us Thursday (21/1) at 2pm UTC for Dr Nathaniel Filardo, Microsoft Research Cambridge, online talk "CHERI: A Modern Capability Architecture" https://t.co/oDtHIxnFIE
Come and join @LSDSImperial as Faculty! We do exciting research across systems, data management, architecture, networking, compilers, machine learning and security. https://t.co/6SX0pVEQEo
Please join us Thursday (3/12) at 2pm UTC for Prof. Daniel Abadi, University of Maryland, online talk "SLOG: Serializable, Low-latency, Geo-replicated Transactions" https://t.co/QMMDl47lci
@raulcfernandez Not yet, but it will be available after shepherding.
RT @ppietzuch: It's great news to get at the end of a long day that our paper on #CublicleOS, a library OS with practical hardware-backed câ¦
Please join us Thursday (19/11) at 2pm UTC for Dr Joy Arulraj, Georgia Institute of Technology, online talk "Data Management on Non-Volatile Memory" https://t.co/jhSBzrL8CD
Please join us Thursday (12/11) at 2pm UTC for Dr Martin Hentschel & Dr Max Heimel, Snowflake, online talk "A Peek into Snowflake's Scalable Architecture" https://t.co/nDYW1H3qZ4
Please join us Thursday (5/11) at 2pm UTC for Marios Kogias', Microsoft Research Cambridge, online talk "Making RPCs first class datacenter citizens" https://t.co/w7Y3TOFv7j
Please join us Thursday (29/10) at 2pm GMT for Jo Van Bulck's, KU Leuven, online talk "Microarchitectural side-channel attacks for untrusted operating systems" https://t.co/heiqOwD9kA
The goal of the LSDS group is to support the design and implementation of tomorrow's large-scale data-intensive systems. We investigate new abstractions and infrastructures for building scalable, robust and secure data-intensive applications.
Join the EU-funded SecureCloud project and investigate how new hardware trust mechanisms can be used to improve the security of cloud computing applications.
Multiple post-doctoral positions available in the areas of distributed systems, databases, and networking.
Two PhD positions are available in the broad area of Computer Systems with focus on designing and building systems that support BigData and Data Science workloads on modern and future hardware platforms.
PhD position in Big Data Management with focus on Auto-tuning for modern hardware under the supervision of Dr. Holger Pirk.
PhD position in Big Data Management with focus on Data Compression under the supervision of Dr. Holger Pirk.