http://databasearchitects.blogspot.com/2023/04/the-great-cpu-stagnation.html Database Architects A blog by and for database architects. Sunday, April 9, 2023 The Great CPU Stagnation For at least five decades, Moore's law consistently delivered increasing numbers of transistors. Equally significant, Dennard scaling led to each transistor using less energy, enabling higher clock frequencies. This was great, as higher clock frequencies enhanced existing software performance automatically, without necessitating any code rewrite. However, around 2005, Dennard scaling began to falter, and clock frequencies have largely plateaued since then. Despite this, Moore's law continued to advance, with the additional available transistors being channeled into creating more cores per chip. The following graph displays the number of cores for the largest available x86 CPU at the time: [multicore] Notice the logarithmic scale: this represents the exponential trend we had become accustomed to, with core counts doubling roughly every three years. Regrettably, when considering cost per core, this impressive trend appears to have stalled, ushering in an era of CPU stagnation. To demonstrate this stagnation, I gathered data from wikichip.org on AMD's Epyc single-socket CPU lineup, introduced in 2017 and now in its fourth generation (Naples, Rome, Milan, Genoa): Model Gen Launch Cores GHz IPC Price 7351P Naples 06/2017 16 2.4 1.00 $750 7401P Naples 06/2017 24 2.0 1.00 $1,075 7551P Naples 06/2017 32 2.0 1.00 $2,100 7302P Rome 08/2019 16 3.0 1.15 $825 7402P Rome 08/2019 24 2.8 1.15 $1,250 7502P Rome 08/2019 32 2.5 1.15 $2,300 7702P Rome 08/2019 64 2.0 1.15 $4,425 7313P Milan 03/2021 16 3.0 1.37 $913 7443P Milan 03/2021 24 2.9 1.37 $1,337 7543P Milan 03/2021 32 2.8 1.37 $2,730 7713P Milan 03/2021 64 2.0 1.37 $5,010 9354P Genoa 11/2022 32 3.3 1.57 $2,730 9454P Genoa 11/2022 48 2.8 1.57 $4,598 9554P Genoa 11/2022 64 3.1 1.57 $7,104 9654P Genoa 11/2022 96 2.4 1.57 $10,625 Over these past six years, AMD has emerged as the x86 performance per dollar leader. Examining these numbers should provide insight into the state of server CPUs. Let's first observe CPU cores per dollar: [coresperdo] This deviates significantly from the expected exponential improvement graphs. In fact, CPU cores are becoming slightly more expensive over time! Admittedly, newer cores outperform their predecessors. When accounting for both clock frequency and higher IPC, we obtain the following image: [instrperdo] This isn't much better. The performance improvement over a 6-year period is underwhelming when normalized for cost. Similar results can also be observed for Intel CPUs in EC2. Lastly, let's examine transistor counts, only taking into account the logic transistors. Despite improved production nodes from 14nm (Naples) over 7nm (Rome/Milan) to 5nm (Genoa), cost-adjusted figures reveal stagnation: [transistor] In conclusion, the results are disheartening. Rapid and exponential improvements in CPU speed seem to be relics of the past. We now find ourselves in a markedly different landscape compared to the historical norm in computing. The implications could be far-reaching. For example, most software is extremely inefficient when compared to what hardware can theoretically achieve, and maybe this needs to change. Furthermore, historically specialized chips enjoyed only limited success due to the rapid advancement of commodity CPUs. Perhaps, custom chips will have a much bigger role in the future. Posted by Viktor Leis at 2:08 PM # Email ThisBlogThis!Share to TwitterShare to FacebookShare to Pinterest No comments: Post a Comment Older Post Home Subscribe to: Post Comments (Atom) Contributors * Peter Boncz * Thomas Neumann * Viktor Leis Blog Archive * V 2023 (3) + V April (1) o The Great CPU Stagnation + > February (1) + > January (1) * > 2022 (7) + > June (5) + > April (1) + > January (1) * > 2021 (2) + > July (1) + > June (1) * > 2020 (4) + > November (1) + > October (1) + > April (1) + > January (1) * > 2019 (3) + > July (1) + > May (1) + > February (1) * > 2018 (2) + > June (1) + > April (1) * > 2017 (2) + > December (1) + > February (1) * > 2016 (2) + > August (1) + > April (1) * > 2015 (7) + > December (1) + > September (1) + > July (1) + > June (1) + > April (1) + > February (1) + > January (1) * > 2014 (11) + > December (1) + > September (1) + > August (1) + > July (2) + > June (2) + > May (4) Simple theme. Powered by Blogger.