High Performance Computing studies on obtaining the best utilization of the hardware at hand for large and time-critical computing tasks. The continuous architectural evolution of the computer clusters, network infrastructures, multi- and many-core processors and accelerators necessitates heterogeneous computation and novel parallelization techniques and optimized, topology-aware implementations of data analytics kernels to minimize the energy usage and computing costs and to obtain the best performance.
Faculty members: Kamer Kaya
- 2015-2017, TÜBİTAK 2232 Project (No: 115C018): "High Performance Computing on Big and Streaming Data". K. Kaya.