Research Topics
▪ transactional key/value store
▪ file system for clouds
▪ logstructured metadata catalogs
▪ Grid data management
▪ MapReduce for graph search
▪ energy-efficient computing
▪ erasure codes
▪ manycore, GPGPU, FPGA
Funded Projects
FFMK ▪ 2013 - 2015
IES-Cities ▪ 2013 - 2015
HARNESS ▪ 2012 - 2015
4CaaSt ▪ 2010 - 2013
Contrail ▪ 2010 - 2013
C3-INAD ▪ 2010 - 2013
Enhance ▪ 2011 - 2013
LABIMI/F ▪ 2011 - 2013
METRIK ▪ 2006 - 2015
Former Projects
DGrid Kernknoten ▪ 2006 - 2012
PneumoGrid ▪ 2009 - 2012
MoSGrid ▪ 2009 - 2012
DGSI ▪ 2009 - 2012
PT-Grid ▪ 2009 - 2012
WissGrid ▪ 2009 - 2012
AstroVDZ ▪ 2010 - 2012
First we take Berlin ▪ 2010 - 2011
DGI-2 ▪ 2008 - 2010
Grid Chem ▪ 2006 - 2010
MedInfoGrid ▪ 2008 - 2010
XtreemOS ▪ 2006 - 2010
AstroGrid-D ▪ 2005 - 2009
C3-Grid ▪ 2005 - 2009
MediGrid ▪ 2005 - 2009
SELFMAN ▪ 2006 - 2009
Services@MediGRID ▪ 2008 - 09
CoreGrid ▪ 2004 - 2008
DGI ▪ 2005 - 2008
BCB ▪ 2001 - 2006
GridCoord ▪ 2004 - 2006
GridLab ▪ 2002 - 2005
MetaChem ▪ 2000 - 2005
DataGrid ▪ 2001 - 2004
FlowGrid ▪ 2002 - 2004
VS ▪ 2003 - 2004
CoRes ▪ 2002 - 2003
UNICORE ▪ 2000 - 2002
Meta ▪ 1999 - 2000
- Photo: J. Keiper
Parallel and Distributed Systems
Head
Prof. Dr. Alexander Reinefeld
Dr. Florian Schintke
In the Parallel and Distributed Systems department we design scalable, fault-tolerant algorithms for massively parallel high-performance computers and Internet-based systems. One research focus is on the management of distributed data, a problem which is becoming increasingly important in our interconnected and mobile world.
Motivated by the increased operating cost of high-performance computers, we investigate the use of many-core CPUs, graphic processors (GPGPUs) and field programmable gate arrays (FPGAs) as energy-efficient alternatives to conventional processors in high-performance computing.
The department is divided into three working groups