Computer Architecture For Scientists: Principles And Performance Andrew A Chien Cambridge University Press Αγγλικά Βιβλία Computing Technology

The Dramatic Increase In Computer Performance Has Been Extraordinary But Not For All Computations: It Key Limits And Structure Software Architects Developers Even Data Scientists Need To Understand How Exploit Fundamental Of Harness Future Applications Ideal Upper Level Undergraduates Architecture Covers Four Pillars Imparts A High-Level Basis Reasoning With Understanding These Concepts: Small Is Fast - Size Scaling Drives Implicit Parallelism Sequential Program Can Be Executed Faster Dynamic Locality Skirting Physical By Arranging Smaller Space Increasing Teams Workers Principles Models Provide Approachable Insights Quantitative Modelling Without Distracting Low-Level Detail Finally Text Gpu Machine-Learning Accelerators That Have Become Increasingly Important Mainstream Σελίδες: 350