Code Optimization Services

The single instruction, multiple data (SIMD) capabilities of vector processors makes them particularly attractive for computationally demanding applications such as filtering, rendering, stream encryption, and data capture and processing from sensors that produce large volumes of data (military radar, medical imaging, weather satellites).

The power of vector processors comes from their ability to process several elements at once (applying the same operations to all elements in a short vector). This, combined with the standard processor techniques of independent processing units (load/store, integer, float, vector) running in parallel, and pipelined units processing several instructions simultaneously (sequentially up to the instruction latency) make it possible to process multiple data elements per clock cycle. Achieving this in practice is far from easy and requires an in-depth knowledge of the processor and detailed analysis and understanding of the algorithm. For large datasets, memory management is also an issue: a processor waiting for data is not producing results.

Multicore Processors

Today's processors increasingly provide multiple cores on-chip, but most DSP and scientific/engineering codes cannot make effective use of the increased power provided by multicore processors. We have many years of experience with multicore and multiprocessor systems.

We can

provide multithreaded libraries which yield transparent access to multicore facilities with minimal code restructuring.

multithread your existing applications for increased performance.

use a fast SIMD vector DSP library for appropriate routines to increase application optimisation. NAS designs and implements a whole range of COTS low-level optimised SIMD vector DSP libraries that we can use to significantly speed code up. NAS can also do custom implementations of any function bottleneck within a customer's algorithm by implementing it in optimised SIMD vector code.

where speed is crucial: provide hand-crafted assembler routines for optimal performance.

Code Optimization Services

Code Optimization Services

Multicore ProcessorsToday's processors increasingly provide multiple cores on-chip, but most DSP and scientific/engineering codes cannot make effective use of the increased power provided by multicore processors. We have many years of experience with multicore and multiprocessor systems.

Multicore Processors

Today's processors increasingly provide multiple cores on-chip, but most DSP and scientific/engineering codes cannot make effective use of the increased power provided by multicore processors. We have many years of experience with multicore and multiprocessor systems.