How deeply does C++ Concurrency in Action, Second Edition cover scalability?

Explains serial-versus-parallel limits through Amdahl’s law and identifies waiting and contention as additional constraints.

Scalability

As explained in C++ Concurrency in Action, Second Edition

Scalability is the ability of a system or algorithm to increase its capacity as available resources increase.

Scalability describes how well a system uses additional processors to improve execution speed or throughput. A single-threaded program gains no performance from extra processors; ideally, performance rises in proportion to the available processing power. section 8.4 section 8.4.2

Serial work limits the gains: adding processors can speed up parallel work, but not sections where only one thread is useful. Waiting for other threads or I/O can also leave processors idle. section 8.4.2

Assess scalability by checking for common limits:

Estimate how much of the program is serial before expecting gains from more processors. section 8.4.2
Test across processor configurations: contention that is manageable on a small system can hurt performance on a larger one. section 11.2.6

Compare across workloads and systems

A 24-core system might be expected to run a workload 24 times faster than a single-core system, but serial work could cap the gain at threefold. Data-parallel work can also increase throughput: processing several files concurrently handles more data in the same time, even if each file still takes just as long. section 11.2.6 section 1.2.2

How C++ Concurrency in Action, Second Edition covers it

Cover of C++ Concurrency in Action, Second Edition

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Related concepts

Knativeused by · Knative is an open-source, Kubernetes-based platform for deploying and operating serverless and event-driven workloads.
horizontal scalingincludes · Horizontal scaling is adjusting system capacity by adding or removing computing nodes or equivalent instances that share or distribute the workload.
vertical scalingcontrasts with · Vertical scaling is increasing or decreasing a system’s capacity by changing the resources available to an existing machine, node, or instance.
nonfunctional requirementkind of · A nonfunctional requirement specifies a quality attribute, constraint, or operating condition that a system must satisfy beyond the particular functions it performs.
dataset splitaddressed by · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.
Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.

This explainer was generated by Manning's knowledge graph from the text of C++ Concurrency in Action, Second Edition. The section links point to the parts of the book it draws on.