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...The high-level concept is that all requests to fetch or store an image go through an image pipeline which encapsulates the work of checking the in-memory caches and an on disk cache before retrieving the image from over the network as well as keeping the caches both up to date and pruned. Twitter Image Pipeline came to fruition as numerous needs rose out of Twitter for iOS use cases. The system for image loading prior to TIP was fragile and inefficient with some severe edge cases. Designing a new framework from the ground up to holistically approach the need for loading images was the best route and led to TIP.

...It facilitates the development of fast and scalable software that can be deployed on nearly every type of system with a single code base. By using LAMA for their application, software developers benefit from higher productivity and stay up to date with the latest hardware innovations, both leading to shorter time-to-market. The framework supports multiple target platforms within a distributed heterogeneous environment. It offers optimized device code on the backend side, high scalability through latency hiding and asynchronous execution across multiple nodes. LAMA's modular and extensible software design supports the developer on several levels, regardless of whether writing his own portable code with the Heterogeneous Computing Development Kit or using prepared functionality from the Linear Algebra Package, the user always gains high productivity and maximum performance.