Which of the following sets of interrelated forces threatens to slow down the progression of Moore’s Law?

Question

BlackTom AI · Accepted Answer

Examining the question, we’re asked which set of interrelated forces threatens to slow Moore’s Law.
Option 1: 'size, heat, and power' — This pairing captures the core challenges: as devices scale down, transistors face thermal issues (heat) and power constraints, which together impede further scaling and density increases envisioned by Moore’s Law. The interdependence among physical size, heat dissipation, and power consumption is widely recognized in semiconductor research as a fundamental throttle to continued miniaturization and performance gains.
Option 2: 'weight, speed, and capacity' — Weight is not a central factor in Moore’s Law discussions about transistor scaling and integration density. Speed and capacity (interpreted as storage or bandwidth) relate to performance and architectural choices, but they do not form the primary triad of physical/thermal constraints that threaten scaling at the transistor level.
Option 3: 'density, clock speed, and wafer thickness' — Although density is related to Moore’s Law, clock speed has not kept pace with earlier expectations due to power and thermal limits, and wafer thickness is a manufacturing parameter rather than a direct scaling-pressure factor for continued transistor density. The combination here misidentifies the most critical interrelated constraints.
Option 4: 'silicon availability, efficiency, and energy' — Silicon availability is not the immediate bottleneck in mainstream scaling concerns, and while efficiency and energy relate to power and thermal issues, this option frames the problem in a less precise way, missing the canonical trio centered on physical scaling and heat/power dynamics.
Option 5: 'memory, cache size, and speed' — These are architectural and memory hierarchy aspects rather than the fundamental physical impediments that slow transistor scaling under Moore’s Law. They do not represent the core forces that directly impede the pace of Moore’s Law in density scaling.
Overall, the reasoning aligns with the recognized core challenge: as devices shrink, managing heat and power while maintaining feasible sizes becomes the dominant set of constraints restraining further Moore-like progress.

KSB-113-006.2025F [25 Fall] Midterm Exam- Requires Respondus LockDown Browser

Which of the following sets of interrelated forces threatens to slow down the progression of Moore’s Law?

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