From 38adcdaacfae17cbe9957da50317cb0c2f102964 Mon Sep 17 00:00:00 2001 From: Anton K Date: Wed, 4 Apr 2012 16:53:36 +0400 Subject: [PATCH] Changed readme.txt --- readme.txt | 34 +++++++++------------------------- 1 file changed, 9 insertions(+), 25 deletions(-) diff --git a/readme.txt b/readme.txt index 9a1050d..410b3a5 100644 --- a/readme.txt +++ b/readme.txt @@ -1,32 +1,16 @@ 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. +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 +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 +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. +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 Top#10 Top#7 - 178s 485s 309s - -Alenka is a pretty much work in progress so please be careful if you use it on a production data :-) - -antonmks@gmail.com +Open source and free