Research and development programmes | CERIT Scientific Cloud

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

Optimization of Computational Kernels Granularity

Automatic optimization of computational kernels in OpenCL or CUDA by their fusion.

Big data analytics

Optimal technique selection and configuration for the analysis of large data sets.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

AAI - Perun

We co-develop Perun system, used for managing users’ identities, groups and access to resources and services in distributed enviroments.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

Enhancing regional air quality models to study organic pollutants

Research Centre for Toxic Compounds in the Environment (Recetox)

Speedup of molecular metadynamics

Department of Biochemistry and Microbiology, Institute of Chemical Technology, Prague

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.

Optimization and acceleration of Xmipp tool

Biocomputing Unit, Spanish National Center for Biotechnology

In-house research and development

e-Infrastructure research and development are primarily driven by the requirements of the e-infrastructure evolution and its flexible advanced use:

Algorithm development and the , with specific emphasis on parallel and distributed computing environment and the use of accelerators (GP-GPU currently, Xeon Phi).
e-Infrastructure configuration and authorisation, including complex virtual (cloud) environments for critical information infrastructures, such as existing Cybernetic Proving Ground (research, development, and training in cybersecurity), or virtualised testbeds to support simulation of large systems (e.g., smart cities, energy distribution network etc.).
Work with extensive datasets—this is a recurring scheme in many RI’s collaborations, ranging from security, through smart energy to life sciences)—and the recent introduction of generic “big data” analysis techniques as a new research focus.
Job and task scheduling (in collaboration with CESNET)
Security of large distributed (in collaboration with CESNET) e-infrastructures, in particular, authentication and authorization in the distributed environment, general cybersecurity.