Head
Dr. Thomas Steinke

Our research focuses on the development of algorithms for the next generation of compute and storage systems with many-core processors including heterogenous components (heterogenous computing). Application scenarios using these heterogenous platforms are evaluated in terms of performance and energy efficiency. We implement and test our algorithms on compute clusters with GPGPU, FPGA and SIMD processors. Currently, our application domains include molecular simulations, bioinformatics and life science applications as well as fault-tolerant algorithms in general.

We are co-founder of the OpenFPGA consortium and the OpenAccelerator initiative where we push the promotion of common programming standards.

Research Topics

• energy efficient simulations on massively parallel systems (MC2)
  
• fault-tolerant codes for distributed data storage (Data Storage Reliability)
  
• fine-granular parallel implementations for Personal Supercomputing (SC4Me)