5 citations · 23 across the 21 of their papers we have counts for
4 papers · 1 filter
Guiding Optimizations with Meliora: A Deep Walk down Memory Lane
Kewen Meng, Boyana Norris
Performance models can be very useful for understanding the behavior of applications and hence can help guide design and optimization decisions. Unfortunately, performance modeling…
Distributed-Memory Vertex-Centric Network Embedding for Large-Scale Graphs
Sara Riazi, Boyana Norris
Network embedding is an important step in many different computations based on graph data. However, existing approaches are limited to small or middle size graphs with fewer than a…
A Similarity Measure for GPU Kernel Subgraph Matching
Robert Lim, Boyana Norris, Allen Malony
Accelerator architectures specialize in executing SIMD (single instruction, multiple data) in lockstep. Because the majority of CUDA applications are parallelized loops, control fl…
Autotuning GPU Kernels via Static and Predictive Analysis
Robert V. Lim, Boyana Norris, Allen D. Malony
Optimizing the performance of GPU kernels is challenging for both human programmers and code generators. For example, CUDA programmers must set thread and block parameters for a ke…