Guest author
Thang Minh Tran is a microprocessor architect and inventor of more than 180 patents in CPU and accelerator design. His work spans AMD, Texas Instruments, Freescale, Analog Devices, and RISC-V vector architectures now used in large-scale AI systems.
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and superscalar execution had been in earlier decades. Each marked a generational leap in microarchitecture. By predicting the outcomes of branches and memory loads, processors could avoid stalls and keep execution units busy.
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute