Stockfish 18 for STC Rating List

[Rebel]

The last 6 TCEC finals were between SF and Leela, SF won them all.

Who had the better hardware ?

This page give clues.

Snippets

Number of Cores / Threads for Stockfish and all others
Each engine can use up to 512 threads of the processors

TCEC GPU server starting from S28
CPU: 2x AMD EPYC 9175F (32 cores/64 threads)
GPU: 8x NVIDIA GeForce RTX 5090 32607MiB

CPU 512 threads versus 8 x GPU

Is that fair ??????????

Are there any hardware rants in favor for Leela ?

Let's discuss.

So this was one of my reasons to include the neglected second best engine after Stockfish = Leela in my testing.

[Vinvin]

TCEC GPU server starting from S28
CPU: 2x AMD EPYC 9175F (32 cores/64 threads)
GPU: 8x NVIDIA GeForce RTX 5090 32607MiB

CPU 512 threads versus 8 x GPU

Is that fair ??????????

8 GPU RTX 5090 means 8x21760 cores = 174080 cores for Leela.
It's not fair ! There's way more cores for Leela !

[Rebel]

TCEC GPU server starting from S28
CPU: 2x AMD EPYC 9175F (32 cores/64 threads)
GPU: 8x NVIDIA GeForce RTX 5090 32607MiB

CPU 512 threads versus 8 x GPU

Is that fair ??????????

8 GPU RTX 5090 means 8x21760 cores = 174080 cores for Leela.
It's not fair ! There's way more cores for Leela !

Type "gpu cores vs cpu cores" into Google.

[Vinvin]

TCEC GPU server starting from S28
CPU: 2x AMD EPYC 9175F (32 cores/64 threads)
GPU: 8x NVIDIA GeForce RTX 5090 32607MiB

CPU 512 threads versus 8 x GPU

Is that fair ??????????

8 GPU RTX 5090 means 8x21760 cores = 174080 cores for Leela.
It's not fair ! There's way more cores for Leela !

Type "gpu cores vs cpu cores" into Google.

Why ? I simply use your own argumentation to prove you are wrong.

[Rebel]

TCEC GPU server starting from S28
CPU: 2x AMD EPYC 9175F (32 cores/64 threads)
GPU: 8x NVIDIA GeForce RTX 5090 32607MiB

CPU 512 threads versus 8 x GPU

Is that fair ??????????

8 GPU RTX 5090 means 8x21760 cores = 174080 cores for Leela.
It's not fair ! There's way more cores for Leela !

Type "gpu cores vs cpu cores" into Google.

Why ? I simply use your own argumentation to prove you are wrong.

Well, cpu cores are not comparable with gpu cores, do some reading as I suggested.

Type "gpu cores vs cpu cores" into Google, gives :


CPU cores
are designed for sequential, complex, and varied tasks with low latency (high speed, few cores), acting as the system's brain for OS operations.

In contrast, GPU cores are numerous (thousands) but specialized, designed for high-throughput, parallel, and repetitive data tasks like graphics rendering and AI.

This video explains the key differences between CPUs and GPUs, including their core architecture:
Thumbnail van gerelateerde video
1m
TechPrep
YouTube • 4 mei 2024



Key Differences Summary

Core Count & Power: CPUs have a few (4-64+) powerful cores; GPUs have thousands of smaller, less powerful cores.
Processing Type: CPUs handle serial (one by one) processing; GPUs excel at parallel (many at once) processing.
Best Use Case: CPUs are ideal for general computing, gaming logic, and operating system tasks. GPUs excel at video rendering, machine learning, and simulations.
Architecture: CPU cores have large caches and complex control logic, whereas GPU cores prioritize SIMD (Single Instruction, Multiple Data) throughput.

When to Use Which

CPU: Necessary for responsiveness, complex decision-making, and tasks that cannot be easily broken into smaller, parallel, independent tasks.

GPU: Superior for tasks that can be broken into thousands of smaller tasks, such as matrix calculations in AI, video rendering, or high-end graphics.

Modern systems use them together, with the CPU managing operations and sending parallel data tasks to the GPU for accelerated processing.