4 citations · 5 across the 4 of their papers we have counts for
4 papers
RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing
Ingo Wald, Serkan Demirci, Alper Sahistan +7
We present RaFI, a CUDA and MPI based software framework that simplifies the task of building GPU-enabled data-parallel software where rays or similar work items need to migrate be…
Visual Analysis of Large Multi-Field AMR Data on GPUs Using Interactive Volume Lines
Stefan Zellmann, Serkan Demirci, Uğur Güdükbay
To visually compare ensembles of volumes, dynamic volume lines (DVLs) represent each ensemble member as a 1D polyline. To compute these, the volume cells are sorted on a space-fill…
GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data
Alper Sahistan, Serkan Demirci, Ingo Wald +4
Computational fluid dynamic simulations often produce large clusters of finite elements with non-trivial, non-convex boundaries and uneven distributions among compute nodes, posing…
Compact Tetrahedralization-based Acceleration Structure for Ray Tracing
Aytek Aman, Serkan Demirci, Uğur Güdükbay
We propose a compact and efficient tetrahedral mesh representation to improve the ray-tracing performance. We reorder tetrahedral mesh data using a space-filling curve to improve c…