## +23 ## Thinking Functionally in C++ ## BRIAN RUTH ## 20 23 October 01 - 06 ## +23 ## Thinking Functionally in C++ BRIAN RUTH Senior Software Engineer - Garmin he/him 20 23 October 01 - 06 Expectations ## Setting Expectations ## The goal of this talk is to show you different ways of thinking about a problem • You do not need to be familiar with functional programming • We will not cover changes • Bitmapped vector trie Epilogue: Thinking Functionally ## Thinking Functionally ## The goal of this talk was to show you different ways of thinking about a problem • C++ is a multiparadigm language

## Adventures in SIMD Thinking (Part 2 of 2) Bob Steagall CppCon 2020 ## KEWB COMPUTING ## Agenda • Learn a little about Intel's SIMD facilities (disclaimer: I don't work for Intel) • Create Create some useful functions in terms of AVX-512 intrinsics • Try some SIMD-style thinking to tackle some interesting problems • Intra-register sorting • Fast linear median-of-seven filter • Fast small-kernel • Faster (?) UTF-8 to UTF-32 conversion (with AVX2) ## • No heavy code, but lots of pictures • Thinking "vertically" ## Small-Kernel Convolution ## Convolution • f is a signal • g is a kernel

## Adventures in SIMD Thinking (Part 1 of 2) Bob Steagall CppCon 2020 ## KEWB COMPUTING ## Agenda • Learn a little about Intel's SIMD facilities (disclaimer: I don't work for Intel) • Create Create some useful functions in terms of AVX-512 intrinsics • Try some SIMD-style thinking to tackle some interesting problems • Intra-register sorting • Fast linear median-of-seven filter • Fast small-kernel • Faster (?) UTF-8 to UTF-32 conversion (with AVX2) ## • No heavy code, but lots of pictures • Thinking "vertically" ## Getting Started #include #include #include

technology to overcome our inherent shortcomings.” The Truth about Relativity – Why Everything Is Relative – Even When It Shouldn’t Be ![Image](/uploads/documents/d/8/2/d/d82da0c400e708b4072e177dfae3cf4f/p1_1 don’t have an internal value meter that tells us how much things are worth. Rather, we focus on the relative advantage of one thing over another, and estimate value accordingly” “we not only tend to compare

256*10^{36}=2.56*10^{38} $$ ☑ The relative error of $ 2^{10} \approx 1000 $ is 2.34%. ☑ The relative error of $ 2^{10} \approx 1000 $ is 2.34%. ☑ The relative error only increases on the ten steps: |2^{60}|13.26%|2^{120}|24.77%|2^{180}|34.75%| ## Relative error of the estimation ☑ The relative error of $ 2^{10} \approx 1000 $ is 2.34%. ☑ The relative error only increases on the ten steps: |2^{10}|2

only 27% of the single-token FLOPs (measured in equivalent FP8 FLOPs) and 10% of the KV cache size relative to DeepSeek-V3.2. Furthermore, DeepSeek-V4-Flash, with its smaller number of activated parameters establish foundational capabilities. Subsequently, Reinforcement Learning (RL) is applied using Group Relative Policy Optimization (GRPO) (DeepSeek-AI, 2025), which further optimizes the model for domain-aligned Through the expansion of reasoning tokens, DeepSeek-V4-Pro-Max demonstrates superior performance relative to GPT-5.2 and Gemini-3.0-Pro on standard reasoning benchmarks. Nevertheless, its performance falls

The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking." by Albert Einstein class="tag" href="/tag/deep-thoughts/page/1/">deep-thoughts thinking world