Processor Microarchitecture and Performance Design

Instructor: Stefan Novak
Resource—AdvancedEnglish

Microarchitecture connects processor architecture with hardware implementation through datapaths, control, pipelining, hazard handling, parallel execution, and advanced scheduling techniques, revealing how modern processors balance instruction throughput, clock speed, hardware complexity, power, and implementation cost.

5.0
2students

This offering includes

  • 1 module
  • 8 lectures
  • Access on mobile and computer
  • 3.56 hours on-demand video

Description

Microarchitecture defines how an instruction-set architecture is realized using registers, ALUs, memories, multiplexers, datapaths, and control logic. Architectural state and instruction behavior are translated into synchronized data movement and state transitions. Datapath construction, instruction decoding, immediate handling, memory access, register writeback, program-counter updates, and conditional execution establish the fundamental structure required to implement ARM-style processor behavior. Single-cycle, multicycle, and pipelined organizations expose different performance and hardware trade-offs. A single-cycle processor completes every instruction in one long cycle and provides simple control with CPI equal to one. A multicycle processor divides execution into shorter steps, reuses memory and ALU resources, and stores intermediate values in nonarchitectural registers under finite-state control. A five-stage pipeline overlaps Fetch, Decode, Execute, Memory, and Writeback to improve instruction throughput, while pipeline registers and the slowest stage determine achievable clock frequency. Concurrent instruction execution introduces RAW dependencies, load-use stalls, branch control hazards, forwarding paths, bubbles, and pipeline flushes. Branch prediction reduces control-flow penalties through static and history-based dynamic prediction. Deeper pipelines can increase clock frequency but also increase sequencing overhead, dependency penalties, branch-misprediction cost, and hardware complexity. Performance therefore depends on the interaction among CPI, clock period, pipeline depth, hazard frequency, and workload behavior rather than on clock frequency alone. Higher-performance processors extract additional instruction-level parallelism through micro-operations, superscalar execution, out-of-order scheduling, and register renaming. Complex instructions can be decomposed into simpler internal operations that execute on regular datapaths. Multiple execution units allow several instructions to issue in parallel, while dynamic scheduling selects ready instructions independently of original program order. Register renaming removes false WAR and WAW dependencies by mapping architectural register names onto additional physical storage, increasing scheduling freedom while preserving true RAW dependencies. Multithreading supplies independent instruction streams when single-thread ILP or memory latency leaves execution resources idle. Multiprocessor systems extend parallel execution through symmetric cores, heterogeneous cores and accelerators, or networked clusters with local memories. The evolution of ARM reflects these design principles, progressing from compact three-stage pipelines to deeper pipelines, Thumb and SIMD support, superscalar and out-of-order execution, multicore and big.LITTLE organizations, and 64-bit ARMv8 implementations. Modern processor design emerges as a continuous engineering trade-off among performance, energy efficiency, silicon area, hardware complexity, programmability, and cost.

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