I’ve been playing around with several devices in a context of running OpenCL code on them. They have one common thing which is excessive heat coming out of GPU and heatsink being unable to dissipate it. I start with MacBookPro3,1. It has NVIDIA 8600M GT, which is known to fail. I assume that it may be linked with overheating. Second example is design failure of Lenovo Thinkpad T420s which has built in NVIDIA NVS 4200M. This laptop has Optimus feature which in theory could detect if workload should be run on discrete or integrated GPU. Unfortunately enabling either Optimus or
Among various computing devices I have there is one that stands out it is NVIDIA Quadro NVS 140M because it supports only FP32 (float) operations, but not FP64 (double). It is generally too old. In OpenCL we have both pow function which takes double and float parameters. The latter is called pown. I use first one to actually benchmark double precision computation. Model Year Core Unit Clk Perf 1k 10k 100k NVS 4200M 2011 48 1 1480 156/12 13 116 1163 Tesla K20xm 2012 2688 14 732 3935/1312 2 3 24 Intel i7 2640M 2011 2 4 2800 n/a 3
OpenCL implementation od DES cipher is way faster than regular single-threaded C program. 1 mln encryptions take less than a second on RTX 3050 Ti, but also as much as almost 40 seconds on Intel i5-10200h single-thread application. Lack of compact and extremely portable SSL/TLS library in pre C++11 project made me think about going for something easy to implement on my own concerning data encryption. I’ve selected DES, which stands for Data Encryption Standard because of my general understanding of such algorithm. It comes from 1975 and has certain limitations including short key length or known weak keys. But