Pingali, 'Atomic-free irregular computations on gpus,' in Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, 2013. Skadron, 'Rodinia: A benchmark suite for heterogeneous computing,' in IISWC, 2009. Cascaval, 'Lonestar: A suite of parallel irregular programs,' in Proceedings of IEEE International Symposium on Performance Analysis of Systems and Software, 2009. Vetter, 'The scalable heterogeneous computing (shoc) benchmark suite,' in GPGPU, 2010.

Kaeli, 'Exploiting memory access patterns to improve memory performance in data-parallel architectures,' IEEE Transactions on Parallel and Distributed Systems, vol. Shen, 'Porple: An extensible optimizer for portable data placement on gpu,' in Proceedings of the 47th International Conference on Microarchitecture, 2014. Experiments on three types of GPU systems show that, with less than 200KB space cost, the new data placement technique can provide a 1.6X average (up to 4.27X) speedup. It enables more flexible data placements by using coherence-free multiview to leverage the slack in coherence requirement of some GPU programs. We further develop reference-discerning data placement, a new way to enhance data placements on GPU. We present a theorem and some compiler support to ensure the soundness of the usage of coherence-free multiview. We demonstrate that under certain conditions, the multiple views can remain incoherent while facilitating enhanced data placement. In this work, we propose coherence-free multiview, an approach that allows multiple views of a single data object to co-exist on GPU memory during a GPU kernel execution. Prior optimizations of data placement always require a single view of a data object on memory, which limits the optimization effectiveness.

Data placement determines what data are placed on which type of memory, essential for GPU memory performance. A Graphic Processing Unit (GPU) system is typically equipped with many types of memory (e.g., global, constant, texture, shared, cache).

Free multiviewer software