11 citations · 13 across the 3 of their papers we have counts for
4 papers
Specifying and Testing GPU Workgroup Progress Models
Tyler Sorensen, Lucas F. Salvador, Harmit Raval +4
As GPU availability has increased and programming support has matured, a wider variety of applications are being ported to these platforms. Many parallel applications contain fine-…
The MosaicSim Simulator (Full Technical Report)
Opeoluwa Matthews, Aninda Manocha, Davide Giri +7
As Moore's Law has slowed and Dennard Scaling has ended, architects are increasingly turning to heterogeneous parallelism and domain-specific hardware-software co-designs. These tr…
Do Your Cores Play Nicely? A Portable Framework for Multi-core Interference Tuning and Analysis
Dan Iorga, Tyler Sorensen, Alastair F. Donaldson
Multi-core architectures can be leveraged to allow independent processes to run in parallel. However, due to resources shared across cores, such as caches, distinct processes may i…
Cooperative Kernels: GPU Multitasking for Blocking Algorithms (Extended Version)
Tyler Sorensen, Hugues Evrard, Alastair F. Donaldson
There is growing interest in accelerating irregular data-parallel algorithms on GPUs. These algorithms are typically blocking, so they require fair scheduling. But GPU programming…