RT @ppietzuch: Excellent presentation by @pgaref at @ACMSoCC on our work on #Neptune, a new Spark execution engine for future unified batch…

By LSDSImperial, 2 weeks 5 hours ago
  • RT @pgaref: Getting ready to present our work @LSDSImperial on unified analytics scheduling at @ACMSoCC #SoCC2019 Drop by our poster if you…

    By LSDSImperial, 2 weeks 6 hours ago
  • RT @ppietzuch: @joshuadavidlind from @LSDSImperial talking about #Teechain, an efficient payment network for Bitcoin that is protected by I…

    By LSDSImperial, 1 month 1 week ago
  • RT @ppietzuch: @akoliousis presenting our @LSDSImperial work on #Crossbow at #VLDB2019. Crossbow is a multi-GPU deep learning system that u…

    By LSDSImperial, 3 months 1 week ago
  • RT @ppietzuch: We have CS faculty openings at all levels, and we are particularly interested in systems/databases/networking/architecture @…

    By LSDSImperial, 4 months 6 days ago
  • RT @ppietzuch: Our paper on #Teechain, a payment network for #blockchain that uses Intel #SGX enclaves for protecting payment channels (wit…

    By LSDSImperial, 4 months 2 weeks ago
  • RT @ppietzuch: Great time at Cosener's again. We heard about lasers in space and cars uploading zettabytes of data. Thanks to the organiser…

    By LSDSImperial, 5 months 3 days ago
  • RT @IIUN_UniNE: Carlos Segarra of @CSEMInfo presents our joint work on secure stream processing on the cloud with Intel SGX at @DisCoTecCon…

    By LSDSImperial, 5 months 3 weeks ago
  • RT @ppietzuch: #SGX-LKL, our library OS for running unmodified distributed Linux applications securely in #SGX enclaves, now has support fo…

    By LSDSImperial, 6 months 1 week ago
  • RT @EuroSys_conf: We have now published all papers and session recordings (audio/video) from the #EuroSys2019! So, this is your chance to c…

    By LSDSImperial, 7 months 13 hours ago

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.

Current Projects

  • View All
  • Big Data Processing
  • Serverless
  • Cloud Computing
  • Systems Security
  • Machine Learning
  • Networking
Ako
Ako
Decentralised Deep Learning
Crossbow
Crossbow
Scalable Multi-GPU Deep Learning
Faasm
Faasm
Serverless Big Data Runtime
MDF
MDF
Meta-Dataflows
Medea
Medea
Heterogenous Application Scheduling
SABER
SABER
Hybrid Stream Processing
SEEP
SEEP
Stateful Big Data Processing
SERECA
SERECA
Hardware-Assisted Cloud Security
SGX-LKL
SGX-LKL
Linux Binaries in SGX Enclaves
Teechain
Teechain
A Secure Blockchain Payment Network

Recent Publications

Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications
P. Garefalakis; K. Karanasos; and P. Pietzuch

In ACM SoCC'19

Teechain: A Secure Payment Network with Asynchronous Blockchain Access
J. Lind; O. Naor; I. Eyal; F. Kelbert; E.Gun Sirer; and P. Pietzuch

In ACM SOSP'19

Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
A. Koliousis; P. Watcharapichat; M. Weidlich; L. Mai; P. Costa; and P. Pietzuch

In VLDB VLDB'19

Taming Hyper-parameters in Deep Learning Systems
L. Mai; A. Koliousis; G. Li; A.O. Brabete; and P. Pietzuch

In ACM SOSR

The LSDS Group

Peter Pietzuch
Peter Pietzuch
Professor
Holger Pirk
Holger Pirk
Lecturer (Assistant Professor)
Daphne Tuncer
Daphne Tuncer
Imperial College Research Fellow
Shujie Cui
Shujie Cui
Post-doctoral Researcher
Luo Mai
Luo Mai
Post-doctoral Researcher
Vasily A. Sartakov
Vasily A. Sartakov
Post-doctoral Researcher
Huanzhou Zhu
Huanzhou Zhu
Post-doctoral Researcher
Konstantinos Fertakis
Konstantinos Fertakis
PhD Student
Panagiotis Garefalakis
Panagiotis Garefalakis
PhD Student
Ahmad Khazale
Ahmad Khazale
PhD Student
Fotis Kounelis
Fotis Kounelis
PhD Student
Joshua Lind
Joshua Lind
PhD Student
Domagoj Margan
Domagoj Margan
PhD Student
Christian Priebe
Christian Priebe
PhD Student
Alex Shamis
Alex Shamis
PhD Student
Simon Shillaker
Simon Shillaker
PhD Student
George Theodorakis
George Theodorakis
PhD Student
Marcel Wagenlander
Marcel Wagenlander
Visitor

Open Positions

Post-Doctoral Researcher
In Systems Security
 

Join the EU-funded SecureCloud project and investigate how new hardware trust mechanisms can be used to improve the security of cloud computing applications.

Post-Doctoral Researcher
In Distributed Systems, Systems, Databases
 

Multiple post-doctoral positions available in the areas of distributed systems, databases, and networking.

PhD position
In Computer Systems for BigData and Data Science
 

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: Auto-tuning for modern hardware
 

PhD position in Big Data Management with focus on Auto-tuning for modern hardware under the supervision of Dr. Holger Pirk.

PhD position
In in Big Data Management: Data Compression
 

PhD position in Big Data Management with focus on Data Compression under the supervision of Dr. Holger Pirk.

Interested in joining LSDS? How to apply