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Monday, May 6 • 14:30 - 16:00
Value Proposition: Allocator-Aware (AA) Software

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The performance benefits of supplying local allocators are well-known and substantial [Lakos, ACCU’17]. Still, the real-world costs associated with orchestrating the integration of allocators throughout a code base, including training, supporting tools, enlarged interfaces (and contracts), and a heightened potential for inadvertent misuse cannot be ignored. Despite substantial upfront costs, when one considers collateral benefits for clients – such as rapid prototyping of alternative allocation strategies – the case for investing in a fully allocator-aware (AA) software infrastructure (SI) becomes even more compelling. Yet there remain many “concerns” based on hearsay or specious conjecture that is either overstated or incorrect.

In this densely fact-infused talk, we begin by introducing a familiar analogy to drive home the business case for AASI. Next we identify four syntactic styles based on three distinct models: C++11, C++17, and a brand new language-based approach being developed by Bloomberg for C++23 (or later). Costs – both real and imagined – will be contrasted with performance as well as other important (“collateral”) benefits. The talk will conclude with a closer look at the economic imperative of pursuing a low-cost language-based alternative to AA software in post-modern C++.

avatar for John Lakos

John Lakos

Software Engineer, Bloomberg Lp
John Lakos, author of Large-Scale C++ Software Design, serves at Bloomberg LP in New York City as a senior architect and mentor for C++ Software Development world-wide.  He is also an active voting member of the C++ Standards Committee’s Evolution Working Group. Previously, Dr... Read More →

Monday May 6, 2019 14:30 - 16:00 MDT