Changed readme.txt

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 :-)
-
-[email protected]  
+Open source and free