- Joined
- Aug 22, 2014
- Messages
- 39 (0.01/day)
System Name | Bird's Monolith |
---|---|
Processor | Intel i7-4770k 4.6 GHz (liquid metal) |
Motherboard | Asrock Z87 Extreme3 |
Cooling | Noctua NH-D14, Noctua 140mm Case Fans |
Memory | 16 GB G-Skill Trident-X DDR3 2400 CAS 9 |
Video Card(s) | EVGA 1080ti SC2 Hybrid |
Storage | 2 TB Mushkin Triactor 3D (RAID 0) |
Display(s) | Dell S2716DG / Samsung Q80R QLED TV |
Case | Fractal Design Define R4 |
Audio Device(s) | Audio Engine D1 DAC, A5+ Speakers, SteelSeries Arctis 7 |
Power Supply | Seasonic Platinum 660 W |
Mouse | SteelSeries Rival |
Keyboard | SteelSeries Apex |
Software | Windows 10 Pro x64 |
As a regular user of MATLAB, I have to say this really falls on Mathworks from my perspective. MATLAB runs on the Java virtual machine so that it can be hardware agnostic and high level. As a company, you want MATLAB to perform its best on any hardware, so whether that's using a proprietary library or a free one, they should strive to optimize for many architectures. Intel is totally in the right to have MKL fallback to SSE if a compatible processor is not detected, it's their library for their processors. However, shame on MathWorks for not investigating the implications for AMD chipsets when utilizing this design choice.
To be fair, Intel has been dominating the processor market for nearly over a decade, so for the clients where performance really matters they were probably running Intel already. But as the tables are turning there is more scrutiny on their design choices (and much deserved).
To be fair, Intel has been dominating the processor market for nearly over a decade, so for the clients where performance really matters they were probably running Intel already. But as the tables are turning there is more scrutiny on their design choices (and much deserved).