The World?s First 1000-Core Processor Was Just Created

cameltoe pussy has been around a while

It still won't be able to figure out why anyone supported Hillary.

Pretty cool it uses light to compute and in energy efficient insane!

Yikes, talk about overkill.

how does that prove trump is a piece of shit though?

I think that Hillary is so fucking 'nero or caligualla' in her brain the libs turned on her secretly. that is the ONLY reason we even heard about the email server. other wise the press would have killed all the sorties. right? that's why the libbys are so pumped on the russian hack... the libbys could not live with the guilt. easy way out for them...

the reality is the country could not take any more penis wars and needed a beak, unless you are a gay man, libbys hate penis...

I fixed that for you

this isn´t for gaming, id have thought this is for AI


How Many Tasks Can Our Brains Process At The Same Time?

We obviously have a lot of other tasks like feelings, however, the create a Terminator, it would probably need a chip with 1million cores, Trump´s here so maybe it won´t be long before this is all reality

i could use that for better faping

This is the last time you'll ever hear of it.

How about 1024 cores?

Epiphany-V: A 1024-core 64-bit RISC processor ? AI

You can already buy a 16 core board, and there was also a limited run of a 64 core board:

https://www.parallella.org/

how about 1024 BIT?

Lol , i can play all call of duty versions at the same time , on the same computer and meanwhile , i can post on gfy )

That's sexy!

I can't imagine what it would cost retail. 20k

GeForce GTX 1080. 2560 cores. $700

that´s a graphics card not a processor

DARPA funded

GPUs have their own processors, the clue is in the name

D-Wave Quantum Computing

Introduction to the D-Wave Quantum Hardware | D-Wave Systems

All the geeks are beating off over it

Not exactly the same but pretty close for the applications they are talking about (video encoding, scientific computing). It's really the power efficiency that is the breakthrough.

The use cases they listed are parallel algorithms and GPUs are optimized for those already. Effectively it's the same difference. Video encode/decode, computer vision, machine learning, scientific computing. From the little information that is there, these sound more like generic cores but not sure what applications there are for non-parallel applications with that many cores.

Unless each core has its own cache / memory then I can't see it behaving much differently. What's the point of having 1000 cores if they all have to share the same memory bus. You can execute 100 instructions on a single core in the time it takes to make a single memory fetch. A cache line on an i7 is still only 64 bytes. So to full take advantage of this chip you would need an application that needed to perform 10,000 CPU instructions per 64 bytes. Even the most intensive computation algorithms don't need that much processing. The cores are going to be sitting idle waiting on memory 99.99% of the time.

Graphics cards are designed for parallel algorithms and have to execute the same instruction across all cores at the same time. Each core gets its own memory but all cores have to execute the same instruction at the same time. This chip sounds like it doesn't have that limitation. That's the key distinction. Graphics cards are not ideal for applications that involve branching like database indexes (B-trees), but perfect for any media processing or scientific computing where every core executes the same instruction at the same time.

I'm trying to think of non-parallel (non SIMD) algorithms that could take advantage of this. Other than databases, I think any kind of graph processing like Apache Spark, Beam, Apex, Flink, Google's Pregel architecture could really benefit from this chip.

It would be ideal for any kind of Complex Event Processing (CEP) systems. Real time analytics over massive streaming datasets like a stock market feed, lots of sensor data, real time website analytics. I can definitely see the defense department using it for threat analysis from massive incoming datasets of camera, phone conversations, and other sensor data.

It seems like that processor is much more power efficient so that's really the huge win. It makes more things economically viable.

So dick pics will display faster and trolls will become more efficient. Plus the miltary, cops and government will be able to control us and kill us more effectively

Very Interesting

The Epiphany processor has 32k (16/64 cores) and 64k (1024 cores) dedicated RAM per core. Each core can also access RAM from other cores (slower) and main system memory (slowest).

It is a niche product and the relatively small amount of (fast) RAM can be limiting. Probably not worth the effort with 16 cores, but scale it up to 1024 and things are looking more interesting...