Code optimisation: Unlocking peak software performance across key industries

Background

Businesses are constantly seeking ways to meet the demands of the ever-evolving technology landscape. A non-negotiable aspect of this is increasing computational capacity to carry out complex software tasks.
Scaling and upgrading hardware is commonly used to manage the demands of increased computational performance. However, scaling hardware comes at a high cost.

An often overlooked solution to mitigating the increasing demands of implementing software is optimising code to run more efficiently. Code optimisation can have wide applications across industries. In this article, we discuss applications of code optimisation across six industries, gaming, automotive, advertising, telecom, industrial automation, and construction.

Code optimisation across industries

Gaming

1. Performance enhancement: Optimised code can significantly improve the overall performance of a game, making it run smoother and faster. Code optimisation contributes to maintaining high frames per second (FPS) while providing high-quality graphics and simulations.
2. Reduced hardware requirements: By optimising code bases behind games, developers can reduce the minimum and recommended hardware specs required for the game to run smoothly. This makes the game accessible to users with a wider range of hardware configurations.
3. Extended battery life on mobile devices: With optimised code, games can run on mobile devices for prolonged periods without significant battery drainage. Code optimisation enables game developers to cater to increasing user demands in using mobile devices for gaming.
4. Efficient use of network resources: Optimised code can reduce the amount of data that needs to be transferred across different devices, particularly in multiplayer and online games, leading to less latency and better gaming experiences.

Automotive

1. Efficient resource use: Software embedded within vehicles are often limited in resources. Optimised code can lead to more efficient utilisation of memory and processing power, thus enabling these systems to do more despite resource constraints.
2. Energy efficiency: Optimised code can help manage power more efficiently, specifically in electric and hybrid vehicles, leading to lower overall energy consumption.
3. Safety and dependability: Well-optimised code is typically more reliable, which is paramount in systems related to vehicular safety, such as automatic braking and driver assistance technologies.
4. Autonomous driving: Autonomous vehicles use complex algorithms to make decisions. Optimising these algorithms can lead quicker and more accurate decisions which are essential in real-time driving conditions.

Advertising

1. Latency reduction: Slow ad delivery can reduce engagement. Optimised code can help ensure ads are served quickly and effectively, reducing the latency often associated with rich media or complex ad serving mechanisms.
2. Improved ad matching: Ad serving mechanisms rely on matching algorithms to deliver relevant ads to users. Optimised algorithms can deliver more accurate results and do so more rapidly, enhancing user experience and ad effectiveness.
3. Cost efficiency: Optimised code has less computational requirements, which translates to large cost savings in the advertising industry.
4. Data processing: Advertising and AdTech often involves processing large volumes of data for analytics purposes. Optimised code can speed-up data processing, ensuring that analytics are rapidly derived for efficient advertising.

Telecom

1. Network efficiency: Code optimisation contributes to better data transmission among devices, leading to less network congestion and improved bandwidth usage. This can significantly enhance the quality of the service.
2. Scalability: Optimised code can provide efficient ways to scale the processes used to handle large amounts of data. This is vital in providing streamlined services, especially during peak usage hours.
3. Cost efficiency: Optimised code consumes less computational resources, potentially lowering operating costs. At scale, these savings can be quite substantial for telecom providers.
4. Enhanced customer experience: Optimised code means faster and more reliable services for customers. This can include smoother call connections and faster internet speed.

Industrial automation

1. Efficient operation: Optimised code ensures efficient operation of automation processes by reducing cycle times and improving the response times of automation systems. Code optimisation can ultimately lead to higher efficiency and throughput.
2. Reducing downtime: Greater efficiency brought by code optimisation can lead to reduced machine downtime, increasing overall productivity, and reducing potential losses from system failures.
3. Energy efficiency: As with any system, more efficient code often means less power consumption. Given the scale of industrial automation, small efficiency gains can lead to significant energy and cost savings.
4. Predictive maintenance: Optimised code can effectively collect and analyse data about systems, facilitating predictive maintenance strategies. This can help to anticipate and prevent failures before they occur, further reducing downtime and maintenance costs.

Construction

1. Manufacturing process optimisation: Artemis AI can be used to optimise software of construction equipment. These include machinery such as concrete mixers, brick-making machines, or CNC (Computer Numerical Control) machines used for cutting and shaping materials. Improving the code behind these machines enhances production speed, accuracy, and energy efficiency.
2. Energy efficiency improvement: Construction often requires significant energy inputs. Artemis AI can analyse and optimise the control algorithms for HVAC (Heating, Ventilation, and Air Conditioning) systems, kilns, and other energy-intensive equipment. Code optimisation reduces energy consumption, lowers operating costs, and minimises environmental footprint of construction equipment.
3. Automation: Businesses in the construction industry are increasingly automating its tasks. Artemis AI can optimise code bases behind these automated systems, improving their accuracy and speed.
4. Environmental compliance: The construction industry often faces stringent environmental regulations. Artemis AI can optimise code related to emissions monitoring and reporting, helping companies meet compliance requirements more efficiently.

TurinTech, Artemis AI, and GenAI-powered code optimisation

TurinTech has been researching code optimisation and its implementations in the AI ecosystem for over 10 years. Artemis AI, TurinTech’s automated code optimisation platform uses LLMs and proprietary optimisation algorithms to analyse users’ code bases to automatically detect and reduce inefficiencies.

Based on TurinTech research, Artemis AI optimised user code bases leading up to 15% reduction in execution time and energy usage. Research further showed that by removing the need for manual code optimisation, Artemis AI saves up to 40% of developer time, which translates to cost savings of around £7,800 per developer per year.

Our proprietary code optimisation technology is able to improve the performance of code bases significantly at a fraction of the cost. Reducing execution time and the computational cost of running code also means making considerable savings on finances, resources, and energy usage.