Dell PowerEdge R940xa GPU Database Acceleration on - Page 18

6 References [1] http://www.tpc.org/tpch/ [2] T. Mostak. An overview of MapD (massively parallel database). White Paper, Massachusetts Institute of Technology, April 2013. http://geops.csail.mit.edu/docs/mapd_overview.pdf [3] https://spectrum.ieee.org/computing/software/data-monster [4] https://streamhpc.com/blog/2017-01-24/many-threads-can-run-gpu/ [5] GPU Join processing revisited https://hgpu.org/?p=7692 [6] P. Bakkum and S. Chakradhar. E_cient data management for GPU databases.2012. http://pbbakkum.com/virginian/paper.pdf. [7] W. Fang, B. He, and Q. Luo. Database compression on graphics processors. PVLDB, 3:670{680, September 2010. [8] P. Ghodsnia. An in-GPU-memory column-oriented database for processing analytical workloads. In The VLDB PhD Workshop. VLDB Endowment, 2012. [9] GPU-accelerated Database Systems: Survey and Open Challenges Sebastian Breß, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake https://pdfs.semanticscholar.org/facd/863386054246043a6d0f0aa2baef3d1c806d.pdf [10] Accelerating SQL Database operations on a GPU with CUDA https://www.cs.virginia.edu/~skadron/Papers/bakkum_sqlite_gpgpu10.pdf [11] Database and Hardware: The Beginning and Sequel of a beautiful friendship. http://www.vldb.org/pvldb/vol8/p2058-anastasia.pdf [12] Mixing multi-core CPUs and GPU for Scientific simulation software. K.A Hawick https://pdfs.semanticscholar.org/7415/6444f07f765c47cf5202d85b9156db6041a6.pdf [13] HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics_ Jing Li HungWei Tsengy Chunbin Lin Yannis Papakonstantinou Steven Swanson Department of Computer Science and Engineering, University of California, San Diego http://www.vldb.org/pvldb/vol9/p1647-li.pdf [14] Hardware Acceleration of Database Analytics Evangelia Sitaridi Amazon Web Services [15] Hardware Acceleration of Database Operations Jared Casper and Kunle Olukotun https://ppl.stanford.edu/papers/fpga14-casper.pdf 18 GPU Database Acceleration on PowerEdge R940xa