| 1 | [[TracNav(WARPLab/TOC)]] |
| 2 | |
| 3 | = WARPLab 7.3.0: Benchmarks = |
| 4 | |
| 5 | == Hardware and Software == |
| 6 | |
| 7 | * Netgear ProSafe 5-port Gigabit Desktop Switch (GS105) |
| 8 | * PC Hardware |
| 9 | * Dell Optiplex 790 |
| 10 | * Intel Core i7-2600 3.4 GHz |
| 11 | * 16 GB RAM |
| 12 | * Window 7 Professional SP1 64-bit |
| 13 | * Intel 82579LM Gigabit Network Connection |
| 14 | * Configured to support Jumbo Packets of up to 9014 Bytes |
| 15 | * PC Software |
| 16 | * Matlab 7.12.0 (R2011a) |
| 17 | * Microsoft Visual C++ 2010 Express (compiler for MEX) |
| 18 | * Microsoft Windows 7 SDK |
| 19 | [[BR]] |
| 20 | == Procedure == |
| 21 | |
| 22 | * Download Reference bit stream w/ iMPACT |
| 23 | * Open MATLAB |
| 24 | * Set current folder within MATLAB to the M_Code_Reference folder of the appropriate WARPLab release |
| 25 | * Run the following commands |
| 26 | * wl_setup |
| 27 | * NOTE: This allows us to configure the Transport type and the Ethernet Packet Size |
| 28 | * nodes = wl_initNodes(1) |
| 29 | * results = wl_benchmark( nodes, 'write_iq', 10000, 'max' ); |
| 30 | * results = wl_benchmark( nodes, 'read_iq', 10000, 'max' ); |
| 31 | [[BR]] |
| 32 | == Results == |
| 33 | |
| 34 | ''' WARP v3 Hardware ''' |
| 35 | |
| 36 | Over 10,000 trials using 32768 samples per trial, we have the following Read IQ and Write IQ performance of the different Transports: |
| 37 | |
| 38 | [[Image(WARP_v3_Ethernet_Performance.png)]] |
| 39 | |
| 40 | {{{ |
| 41 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 42 | | ID | WLVER | Serial # | Transport | Pkt Size (B) | Num Samples | Num Trials | Avg Write IQ per sec | Avg Read IQ per sec | |
| 43 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 44 | | 0 | 7.3.0 | W3-a-00027 | WL Mex UDP | 1464 | 32768 | 10000 | 210.4994 | 232.6682 | |
| 45 | | 0 | 7.3.0 | W3-a-00027 | Java UDP | 1464 | 32768 | 10000 | 17.0187 | 16.9429 | |
| 46 | | 0 | 7.1.0 | W3-a-00027 | Java UDP | 1464 | 32768 | 10000 | 16.9390 | 16.6640 | |
| 47 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 48 | | 0 | 7.3.0 | W3-a-00027 | WL Mex UDP | 8960 | 32768 | 10000 | 445.8885 | 466.6237 | |
| 49 | | 0 | 7.3.0 | W3-a-00027 | Java UDP | 8960 | 32768 | 10000 | 82.0430 | 71.2319 | |
| 50 | | 0 | 7.1.0 | W3-a-00027 | Java UDP | 8960 | 32768 | 10000 | 73.1989 | 44.6655 | |
| 51 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 52 | }}} |
| 53 | |
| 54 | |
| 55 | |
| 56 | |
| 57 | ''' WARP v2 Hardware ''' |
| 58 | |
| 59 | Over 10,000 trials using 16384 samples per trial, we have the following Read IQ and Write IQ performance of the different Transports: |
| 60 | |
| 61 | [[Image(WARP_v2_Ethernet_Performance.png)]] |
| 62 | |
| 63 | {{{ |
| 64 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 65 | | ID | WLVER | Serial # | Transport | Pkt Size (B) | Num Samples | Num Trials | Avg Write IQ per sec | Avg Read IQ per sec | |
| 66 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 67 | | 0 | 7.3.0 | N/A | WL Mex UDP | 1464 | 16384 | 10000 | 128.1127 | 133.0076 | |
| 68 | | 0 | 7.3.0 | N/A | Java UDP | 1464 | 16384 | 10000 | 32.9602 | 31.1658 | |
| 69 | | 0 | 7.1.0 | N/A | Java UDP | 1464 | 16384 | 10000 | 32.5807 | 22.0276 | |
| 70 | ------------------------------------------------------------------------------------------------------------------------------------ |
| 71 | }}} |