
Explore array_ref, a proposed C++ standard library feature for efficient multidimensional arrays. Learn its design, capabilities, and applications in scientific computing and cross-language interoperability.

Explore the impact of exceptions on C++ performance, examining hardware architecture, memory hierarchy, and optimization techniques to understand when exceptions might enhance performance.

Explore RaftLib, a C++ library simplifying parallel programming for heterogeneous multicore processors. Learn to write efficient code for complex hardware without extensive low-level knowledge.

Explore C++17's std::pmr framework, allocator concepts, and memory resource management. Learn about lightweight allocators, rebinding, and non-standard examples for efficient heap handling in C++.

Proposal for refactoring C++ standard containers, addressing weaknesses, and suggesting improvements. Covers naming, design, implementation, and API enhancements for C++2x, emphasizing user needs and modern practices.

Comprehensive analysis of pointer-like types in C++, exploring their properties, use cases, and best practices for choosing the right pointer type in different situations.

Explore fancy pointers in C++, their implementation, and applications in shared memory databases, private heaps, and object persistence. Learn addressing models and storage strategies for synthetic pointers.

Explore modern C++ in embedded systems, covering decision-making, tool support, language features, and practical applications for bare-metal and small-OS projects.

Explore modern C++ efficiency techniques, from value semantics to container choice, for writing performant code that meets user expectations in everyday programming scenarios.

Explore pmr::test_resource for detecting memory allocation bugs in C++. Learn to diagnose and fix issues like leaks, overruns, and exception-safety failures using real-world examples.

Explores rvalue reference lifetime issues in C++, discussing const& binding and temporary lifetime extension problems, with proposed solutions for safer memory management in generic code.

Dive deep into the mechanics of the colony container, exploring its implementation details, performance optimizations, and potential applications in C++ programming.

Explore C++ static analyzers, Core Guidelines enforcement, and "Simplify C++" trends. Discuss various code checks, from catching dangling pointers to enforcing style guidelines, and consider gamifying static analysis.

Explore performance impacts of dynamic memory in C++, covering allocation costs, memory access patterns, and cache-aware design principles with practical examples and solutions.

Explore the innovative approach of implementing C standard library in C++, focusing on modern practices, performance optimization, and overcoming challenges without assembly language.

Learn to create Python bindings for C++ libraries, enhancing performance and usability. Explore memory management, data conversion, multi-threading, and API design for seamless integration.

Explore Python's performance, comparing it to other languages, and learn optimization techniques and future improvements for faster execution.

Discover how Bloomberg successfully integrated Python across its enterprise, focusing on community-driven initiatives, technical support, and cultural shifts to promote widespread adoption.

Explore memory profilers in Python: types, allocation patterns, and effective usage for optimizing large-scale applications and diagnosing memory issues.

Explore unconventional Python techniques, from spiking to interpreter warfare, in this talk on experimental programming ideas and their potential pitfalls.

Explore cPython memory allocation, debugging techniques, and tools like guppy. Learn to identify and solve memory leaks and fragmentation issues in Python programs.