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Hi, I'm Uğur Arıkan

👋 𝙰𝚋𝚘𝚞𝚝 𝙼𝚎

  • Operations Research (OR) Scientist / Practitioner (wiki)
  • Middle East Technical University & Singapore University of Technology and Design
  • Located in Bonn Germany, working at DHL
  • | github | email | linkedin | cv | crates | nuget |

🤟 I like

All things OR, optimization, networks, routing, algorithms, multi objective decision making.

Programming, algorithms, data structures, speed, efficiency and recently concurrency.

Also love programming languages:

  • rust 🤟 every day, to stay for a long time
  • c#, react, typescript 👍 quiet often
  • go, f# 👌🏽 zig, nim 🤔 watching closely

🎈 𝙸'𝚖 currently 𝚞𝚙 𝚝𝚘

mathematical programming / modeling

An expressive, efficient and productive mathematical programming / modeling crate for rust.

  • macro-free and concise api which does not require more lines than model-on-paper has
  • concise, simple, solver agnostic, immutable, type safe
  • with a separation of model and data, and hence, enable abstraction over inputs
  • with reusable & composable model components
  • below is a demo of my attempt in C# and here is the documentation

concurrent programming and parallel processing

Working more and more on concurrent programming and parallel processing in rust. One thing lead to another, and I got more and more interested:

  • First, worked on defining the PinnedVec trait and its implementations such as the SplitVec and FixedVec. A pinned vector is nothing but a vector which keeps its elements pinned in their memory locations.
  • Turns out this feature is very useful in defining concurrent collections such as ConcurrentBag, ConcurrentVec or ConcurrentOrderedBag. This allows to write outputs of a computation concurrently.
  • Then, the missing piece is to provide inputs concurrently with the convenience of an iterator. And hence, the ConcurrentIter.
  • Having concurrent readers and concurrent writers, we can have a very simple yet very performant parallel iterator Par.

self referential collections

Working on convenient and efficient self referential collections.

  • Such collections are common building blocks of data structures used in many algorithms, but they are tricky to build in rust, certainly trickier than garbage collected languages.
  • The goal is to define how to create such collections safely and efficiently in rust.
  • Again the PinnedVec serves as the starting point since we want our references to stay valid.
  • Second goal is to define and provide core functionalities of such collections. SelfRefCol aims to serve as the core structure for self referential collection.
  • As the first consumer, worked on building the famously tricky LinkedList on top of SelfRefCol, which turned out to be very efficient.
  • Efficient & flexible trees 🌴 and graphs are in progress. To continue with graphs.

also

  • working on efficient data structures as I need in algorithms, such as PriorityQueue trait and efficient d-ary heap implementations.
  • and whenever I have time, I am trying some experimental ideas such as Closure and FunVec.

Mathematical Modeling Demo

knapsack

mathematical modeling in action 🔎

knapsack

Ugur Arikan's Projects

cv icon cv

CV - Ugur Arikan

orx-closure icon orx-closure

An explicit closure with absolute seperation of the captured data from the function.

orx-concurrent-bag icon orx-concurrent-bag

An efficient, convenient and lightweight grow-only concurrent data structure allowing high performance concurrent collection.

orx-concurrent-iter icon orx-concurrent-iter

A thread-safe, ergonomic and lightweight concurrent iterator trait and efficient implementations.

orx-concurrent-ordered-bag icon orx-concurrent-ordered-bag

An efficient, convenient and lightweight grow-only concurrent data structure allowing high performance and ordered concurrent collection.

orx-concurrent-vec icon orx-concurrent-vec

An efficient, convenient and lightweight grow-only read & write concurrent data structure allowing high performance concurrent collection.

orx-fun-compose icon orx-fun-compose

A function composition library for C#, heavily experimental right now, would be more practical if C# gets generic operator overloading.

orx-fun-result icon orx-fun-result

A simple result type for C#, not minding the error type, instead aiming to be explicit, concise and fluent.

orx-funvec icon orx-funvec

Traits to unify access to elements of n-dimensional vectors which are particularly useful in algorithms requiring both flexibility through abstraction over inputs and performance through monomorphization.

orx-imp-vec icon orx-imp-vec

A data structure to enable conveniently building performant self referential collections such as trees, graphs and linked lists.

orx-linked-list icon orx-linked-list

An efficient and recursive singly and doubly linked list implementation.

orx-parallel icon orx-parallel

A performant and configurable parallel computing library for computations defined as compositions of iterator methods.

orx-pinned-concurrent-col icon orx-pinned-concurrent-col

A core data structure with a focus to enable high performance, possibly lock-free, concurrent collections using a PinnedVec as the underlying storage.

orx-pinned-vec icon orx-pinned-vec

PinnedVec trait defines the interface for vectors which guarantee that elements added to the vector are pinned to their memory locations unless explicitly changed.

orx-pseudo-default icon orx-pseudo-default

PseudoDefault is a simple trait for creating a default instance of a type, which is not necessarily useful.

orx-selfref-col icon orx-selfref-col

`SelfRefCol` is a core data structure to conveniently build safe and efficient self referential collections, such as linked lists and trees.

orx-split-vec icon orx-split-vec

An efficient constant access time vector with dynamic capacity and pinned elements.

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