Thanks a lot for the feedback! I built it in ~2 weeks and it's really just a prototype at this stage. Some of the points I did on purpose to finish a prototype quickly (Eigen + GLM, one file, not syncing renderer and physics, hardcoding shaders etc.). But some things I didn't know - thanks for that :)
Thanks! I'll keep it way simpler than RL - especially the graphics as you can see. But we can make the physics and multiplayer great, since we build everything from scratch.
When a game is not popular anymore some developers just turn off their servers destroying the multiplayer. That won't happen with decentralized open source servers.
Some very interesting thoughts here. Imo open source software is mostly higher quality than proprietary one.
And apparently the industry is not so interested in Linux. Proton from Valve is interesting but crashes on my machine all the time. So I guess we have to build ourselves and have some fun in the process.
When implementations of the Transformer's self-attention layer utilize SRAM instead of DRAM, they can achieve significant speedups. The Tenstorrent Grayskull architecture provides a large SRAM, distributed across a grid of cores. This work presents a fused kernel for Grayskull, that exclusively utilizes its large SRAM by combining matrix multiplication, attention score scaling and Softmax operations. Additionally, a dedicated Softmax kernel utilizing the SRAM and a CPU implementation serving as a baseline are presented. The Softmax operation consumes most of the runtime in the computation of attention weights from queries and keys on Grayskull. The speedup of the dedicated Softmax kernel compared to the CPU implementation is up to 10x, and the Softmax implementation inside the fused kernel is approximately 1.8x faster than the dedicated Softmax kernel. The time and memory complexity of all implementations is quadratic in sequence length. Currently, the Grayskull e150 is approximately 30x cheaper for the general public than an Nvidia H100 PCIe (a state-of-the-art GPU) and offers approximately 1.5x more SRAM.
Code: https://github.com/moritztng/hacker-league
Discord: https://discord.gg/bD2saQqdTG
X: https://x.com/moritzthuening