## Remote Execution Caching Compiler (RECC) Engineering CppCon 2024 September 19, 2024 Shivam Bairoliya Software Engineer TechAtBloomberg.com © 2024 Bloomberg Finance L.P. All rights reserved. ## ## What is RECC? • Remote Execution Caching Compiler (RECC) Open source build tool that wraps compiler commands and optionally forwards them to a remote build execution service Encompasses the capabilities remote linking and caching ## • Designed to share caches across diverse toolchains Works with many compiler toolchains (GCC, Clang, Solaris CC) o Supports multiple operating systems (Linux, macOS, Solaris)

# Optimization for number of goroutines using feedback control Yusuke MIYAKE / Pepabo R&D Institute, GMO Pepabo, Inc. 2019.07.25 GopherCon 2019 ![Image](/uploads/documents/4/2/d/f/42dfd7f07b1ef4

第三届中国 Rust 开发者大会 ## [Table_CompanyName] 6.17-6.18 @Shanghai ## Learning by Contributing to Rust Compiler Yukang github.com/chenyukang Engineer @ Cryptape ## My work experience • 2011 ~ 2014 EDA startup Diagnostic is an art • Rust cares about error messages • We are building a sufficiently empathetic compiler • It's a trade-off R Rust programming language Crustacean  x rustc +dev tests/ui/suggestions/issue-105761-suggest-self-for-closure

Writing Efficient Programs An advanced programmer's guide to efficient hardware utilization and compiler optimizations using C++ examples Fedor G. Pikus ## PLAN • Efficiency and performance • Understanding  “Just works” Compiler takes care of it Needs care “Just works” but Good to know ## COMPUTING RESOURCES OF A usually true • Temporary variable: bool cond = x || y; if (cond) ... - Does not work at all: - compiler will get rid of it – it's still two branches ## OPTIMIZING FALSE BRANCH if (x || y) do_it();

parameter Member The type of the object, whose member is accessed, must be known to enable the compiler to look up for the appropriate member name in the expression Olaf Krzikalla, DLR SP, 2024-09-1 feature! ## Conclusion: Lessons Learned ## std::�mod is up and running ■ Compilers make a decent optimization job ■ Multiply your native simd size with a factor depending on your algorithm for best results

target - Uses type-erasure under the hood to gain all the magical powers • Utilizes small-size optimization in case target size is within certain limits ## Our Goals • Is to schedule function on the task

Generation Process 1294 98.8 Julia Functions 1296 98.9 Base.Cartesian 1300 98.10 Talking to the compiler (the :meta mechanism) 1305 98.11 SubArrays 1306 98.12 isbits Union Optimizations 1309 98.13 applications, and we do not expect their use to diminish. Fortunately, modern language design and compiler techniques make it possible to mostly eliminate the performance trade-off and provide a single environment computing, with performance comparable to traditional statically-typed languages. Because Julia's compiler is different from the interpreters used for languages like Python or R, you may find that Julia's

Kyuubi and nothing more. The Kyuubi server-side or the corresponding engines could do most of the optimization. On the other hand, we don’t wholly restrict end-users to special handling of specific cases to in Kyuubi ##### 2.2.1. The Basics of AQE Spark Adaptive Query Execution (AQE) is a query re-optimization that occurs during query execution. In terms of technical architecture, the AQE is a framework storage, actually without performing the shuffle across the network. The local shuffle reader optimization consists of avoiding shuffle when the SortMerge Join transforms to BroadcastHash Join after applying

rows By default peewee will cache the rows returned when iterating of a SelectQuery. This is an optimization to allow multiple iterations as well as indexing and slicing without causing additional queries peewee model instances from raw cursor data. See the naive() documentation for more details on this optimization. for stat in stats.naive().iterator(): 序列izer.serialize_object(stat) You can also see performance executing a select query. With some engines can prevent implicit transactions from piling up. ## compiler_class = QueryCompiler A class suitable for compiling queries ## compound_operations = ['UNION'

as Spark, and Flink, is no longer necessary. That is, most work related to deployment, runtime optimization, etc., should be done by professionals on the Kyuubi server side. It is suitable for the following throughput - Sharable execution runtime for low latency • Server-side global and continuous optimization • Auxiliary performance plugins, such as Z-Ordering, Query Optimizer, and so on Another goal goal of Serverless SQL is to make end users need not or rarely care about tricky performance optimization issues. ## What's Next Admin Guide • Quick Start • Getting Started • Getting Started