Assembly Hall of Shame: x86 Instruction Takes 62 Seconds to Execute
Developer domas flips the script on CPU optimization to find the slowest possible single machine instruction.
While the global tech industry spends billions of dollars shaving nanoseconds off processor execution, one developer is racing in the opposite direction. Developer domas, known online as xoreaxeaxeax, has launched the "Assembly Hall of Shame," a project dedicated to identifying the slowest possible single machine instructions on modern CPUs.
Rather than optimizing for throughput, the project seeks the absolute floor of performance. The current x86 record is held by the `fxrstor64` instruction, which achieved a staggering latency of 198,002,498,236 cycles. In real-world time, this single instruction took approximately 62 seconds to complete, according to data from the project's GitHub repository and supporting technical summaries.
The Mechanics of Slowness
To achieve this extreme delay, domas utilized a specific hardware interaction involving Memory-Mapped I/O (MMIO). The strategy involves using `fxrstor64` to load a 512-byte FPU/MMX/XMM state from a high-latency MMIO region within the PCIe fabric. To push the latency to its limit, the process simultaneously saturates the PCIe root complex with contending traffic, maximizing the delay before the instruction can resolve.
Flipping the Optimization Paradigm
Instruction latency analysis is a cornerstone of modern computing, typically used by compiler engineers and software developers to maximize speed. By treating CPU deoptimization as a challenge, the Assembly Hall of Shame transforms a standard engineering metric into a form of technical performance art. It explores the boundaries of how a processor handles stalled requests and the extreme variance in execution time based on the memory region being accessed.
Why It Matters
Beyond the curiosity of the record, the project highlights the critical impact of the interface between instructions and memory-mapped I/O. The ability to create such a massive bottleneck demonstrates how specific hardware configurations can lead to unpredictable execution times. For engineers working on real-time systems, where deterministic timing is mandatory, these findings underscore the importance of understanding worst-case execution time and the risks associated with high-latency hardware paths.
What's Next
The project continues to serve as a benchmark for the "slowest possible" execution, inviting others to find instructions or memory configurations that can exceed the current 62-second record. As modern CPU architectures evolve and PCIe standards change, the project remains a living experiment in the extremes of hardware latency.