24 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.GR2023★ 24 cited
Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing
Durga Mandarapu, Vani Nagarajan, Artem Pelenitsyn +1
High-performance implementations of -Nearest Neighbor Search (NN) in low dimensions use tree-based data structures. Tree algorithms are hard to parallelize on GPUs due to the…
cs.LG2023
RT-kNNS Unbound: Using RT Cores to Accelerate Unrestricted Neighbor Search
Vani Nagarajan, Durga Mandarapu, Milind Kulkarni
The problem of identifying the k-Nearest Neighbors (kNNS) of a point has proven to be very useful both as a standalone application and as a subroutine in larger applications. Given…
cs.DC2023★ 2 cited
RT-DBSCAN: Accelerating DBSCAN using Ray Tracing Hardware
Vani Nagarajan, Milind Kulkarni
General Purpose computing on Graphical Processing Units (GPGPU) has resulted in unprecedented levels of speedup over its CPU counterparts, allowing programmers to harness the compu…