PC Perspective Podcast #376 – 11/19/2015
Join us this week as we discuss Intel Speed Shift, CPU Coolers from Noctua and DEEPCOOL, Broadwell-E Rumors, and more!
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Hosts: Ryan Shrout, Jeremy Hellstrom, Josh Walrath, and Sebastian Peak
Program length: 1:19:22
Week in Review:
0:32:10 This episode of PC Perspective Podcast is brought to you by Braintree. Even the best mobile app won’t work without the right payments API. That’s where the Braintree v.0 SDK comes in. One amazingly simple integration gives you every way to pay. Try out the sandbox and see for yourself at braintreepayments.com/pcper
News item of interest:
Hardware/Software Picks of the Week:
Jeremy: Seems like a good deal?
Sebastian: Pocket Casts Podcast App
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$0.23/GB SanDisk Ultra II
$0.23/GB SanDisk Ultra II 960GB SSD on Amazon now. Ryan’s dream is becoming real.
I dont see this drive on
I dont see this drive on amazon for that price, i see it listed for $.31/GB. still cheaper then the samsung 850 non-pro at $.39/GB@1TB vs 960GB.
the samsung being a better drive overall is still a great value still. That SanDisk ssd is hard to pass up at $100 less for missing 40GB.
I have a
I have a question/topic for the website or podcast.
Have you tested down clocking GPUs to look at the effect on frame rates? (average frame rates and fluctuations)
I have recently purchased an AMD 390X and ran some benchmarks within games and also played them and found a smoother experience when I had down clocked my GPU by around 7%. I know it sounds counterintuitive, but a smoother experience for me is more important than having the maximum frame rate possible. I understand that this GPU is temperature bound and maybe acerbating my findings.
If possible I would be grateful if you guys could to test this theory against multiple GPUs and multiple games and or benchmarks.
The key difference in the Phi
The key difference in the Phi verses the GPGPU stuff is that a GPU is single instruction multiple data (SIMD) whereas Phi is multi instruction multi data (MIMD). The Phi is 72 cores capable of dealing with branches and running independent progams that have been enhanced with big vector instructions whereas the GPU is required to do the same thing across the entire data set.
Fundamentally different models and suitable for different types of concurrent programs. Not everything can work well under GPGPU as it stands, Intel’s Phi is a lot more general purpose.
GCN has branch instructions,
GCN has branch instructions, gather/scatter instructions, fork and join instructions, etc. Those ACE units are very CPU like for compute tasks, in addition to the usual graphics workloads!
Ha, fixed my USB typo 😛
Ha, fixed my USB typo 😛
hi, when you say about
hi, when you say about giveaways etc it might be worth sayn if its international or not cos i dont know if eye got tame 4 dat!
Almost always … except
Almost always … except antarctica