Open-Source GPU Used For Research (binghamton.edu)
Theovon writes: For quite some time now, "open hardware" enthusiasts have had access to a number of open source CPUs, including OpenRISC. However, it wasn't until recently that there has been any kind of open source GPU. In 2014, the Vertical Research Group at the University of Wisconsin-Madison announced MIAOW. MIAOW is in many ways a clone of the AMD Southern Islands architecture and can even run some of the same binary code. Unfortunately, MIAOW is missing some key components such as video and memory systems, making it not currently possible to implement fully in hardware. For this, Nyuzi comes to the rescue. Nyuzi (formerly Nyami) has been in development since 2010 and is a fully functional open source GPU inspired by Larrabee. Although architecturally different from the SIMT architectures from AMD and Nvidia, researchers at Binghamton University and several other places have already used it to conduct research on GPUs. A paper (PDF) was published in March 2015 about this processor (one of the authors was the original founder of the Open Graphics Project), and Nyuzi (homepage) can be downloaded from GitHub.
No, the audio hardware is supposed to MIAOW. How am I going to get a proper Catputer if the component developers keep assigning the names wrong?
This story is way too technical to the Slashdot readers of today. We would rather talk about CS education, global warming and women in computing. Also, where has Ethan been? I miss his posts on astronomy. I can understand them real good. It is like he wrote it just for normal people like me!
Did the person responsible for the name actually come and personally downvote me? Or was it a kneejerk trademark slashdot "anti-sjw" downvote?
Because frankly the name sucks.
But does it run Crysis?
The Nyami paper seems, after a skechy read, a bit on the hand wavy side. E.g., they claim nvidia use switch on stall, but it is pretty well known their gpus switch thread after each cycle to avoid pipeline stalls.
If you go to the web site and actually read the article, you'll see that there's no hardware - it's just a "synthesizable gpu architectural model that you can download from github". This is just about modeling a gpu architecture, and seeing how the simulated model can be improved. Considering the cost of fabbing a one-off piece of silicon, ...
The paper, "Nyami: A Synthesizable GPU Architectural Model for General-Purpose and Graphics-Specific Workloads" appeared in International Symposium on Performance Analysis of Systems and Software
Now you know why there are no pictures. "Pics or it didn't happen" :-)
"Transparent" is a shit show that trades on every stereotype going. A man in drag is NOT a transsexual.
I googled this and found this from an OGML discussion going on about this GPU. There are some screenshots and even a youtube video.
Since 2010, Jeff Bush (github, blog) has been working on an Apache-licensed open source GPU (github, home page, wiki), and he has a few other interesting github projects as well (link, link, link). The Nyuzi Processor is a fully functional GPU. It is written in synthesizable Verilog, has a functional compiler toolchain, and comes with test suites, benchmarks, the software component of 3D rendering engine, and more. Its development has been gaining momentum in discussions (link, link, Google Group) and coding projects (gsoc). It has been implemented on an Altera FPGA, and there are some videos online of it animating a rotating teapot and a Phong-shaded torus, along with the results of recently-added mipmap support. Recently, Jeff Bush got together with the founder of the Open Graphics Project, and they co-wrote a peer-reviewed publication about this GPU and some experiments they did, which was recently presented at a well-respected academic CS conference (ISPASS). Although its developer and other hobbyists are doing this for fun, academics and engineers who specialize in GPU architecture are already showing interest in using Nyuzi for their own research (e.g. link, link), which gives them finally an open platform to estimate not just cycle count but also clock frequency, energy, and circuit area effects of GPU design experiments.
Perhaps the individual is a Super Troopers fan?
they claim nvidia use switch on stall, but it is pretty well known their gpus switch thread after each cycle to avoid pipeline stalls.
"claim switch on stall" = refers to some of the top level documentation that explains that having as much (wraps) threads as possible in flight will hide any latency due to memory access. If one wraps stalls another will hide the latency.
"Cycle threads after each cycle" = you're refering to a different section of Nvidia documentation (I think it was the annexes about fine/tuning optimisation) where the whole thing about "warps/half-warps" and the gory details there of are explain. (If I remember correctly - I'm too lazy to whip out my printouts - each instruction takes 4 cycle to work, and basically, that's why for each single decoded instruction, threads are organised as a serie of 4 waves doing the same instructions. I think having read that it's 32 threads organised as 4 groups of 8. Except some memory access had 2 cycles latency, thus half-wraps are 16 thread: the first 2 groups of 8 then the next 2. Was it shared memory that is access by half wraps ? Memory is a bit blurry).
"Sufficiently advanced satire is indistinguishable from reality." - [Tips: 1DrYakQDKCQ6y52z6QbnkxHXAocMZJE61o ]
I remember a few year back i was a member of the OGP group.
The group was able to do a development platform for the hardware. Also a demo code was made to support VGA and a first iteration of a fix GPU was made.
At the end we were a few working on a spec for the Programmable GPU, before starting to code it to test.
What was released was another project in collaboration with the leader of the OGP. For those who don't get what the news mean :
-It's a programmable GPU
-It can be turned into hardware
-People can thinker with it and improve it
-It's a working base for hardware test in FPGA and software simulation
-The available and open code for a GPU.
-It's not commercial, it's academic
-Graduate and undergraduate student across the globe now have access to it for student project and thesis work
What it's not is:
-A graphic card you can buy
It is a pretty great news for those into the open hardware community. Albeit a latter one than most wished. But it is a game changing moment.