Alenka——GPU 数据库引擎。

Edison

http://sourceforge.net/projects/alenka/files/

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

disruptor

数据库 矩阵这些批量处理的再适合gpu不过了

gzpony

benchmarks 指的是些什么？Time of Q1 of TPC-H Scale Factor 300 吗？ 不是很了解这个。

点进去链接看了看，目前这软件还在Alpha 阶段。

具有高性能高并发的事务处理能力吗。如果是这样，很有前途啊。