Alenka is a modern analytical database engine written to take advantage of vector based processing and high bandwidth of modern GPUs.
Features include:
Vector-based processing CUDA programming model allows a single operation to be applied to an entire set of data at once.
Self optimizing compression Ultra fast compression and decompression performed directly inside GPU
Column-based storage Minimize disk I/O by only accessing the relevant data
Fast database loads Data load times measured in minutes, not in hours.
Open source and free
Some benchmarks :
Alenka : Pentium E5200 (2 cores), 4 GB of RAM, 1x2TB hard drive , NVidia GTX 260
Current Top #10 TPC-H 300GB non-clustered performance result : MS SQL Server 2005 : Hitachi BladeSymphony (8 CPU/8 Cores), 128 GB of RAM, 290x36GB 15K rpm drives
Current Top #7 TPC-H 300GB non-clustered performance result : MS SQL Server 2005 : HP ProLiant DL585 G2 (4 CPU/8 Cores), 128 GB of RAM, 200x36GB 15K rpm drives
Time of Q1 of TPC-H Scale Factor 300 :
Alenka：178s
Top#10：485s
Top#7 ：309s 作者: disruptor 时间: 2011-11-29 14:31
数据库 矩阵这些批量处理的再适合gpu不过了作者: gzpony 时间: 2011-11-29 16:00
benchmarks 指的是些什么？Time of Q1 of TPC-H Scale Factor 300 吗？ 不是很了解这个。