Scalable from 1 to 4 cores the Mali-400 MP enables a wide range of different use cases, from mobile user interfaces up to smartphones, tablets and DTVs, to be addressed with a single IP. One single driver stack for all multi-core configurations simplifies application porting, system integration and maintenance. Multicore scheduling and performance scaling is fully handled within the graphics system, with no special considerations required from the application developer
The provision of an industry standard AMBA® AXI interface makes integration of Mali-400 MP into system-on-chip designs straight-forward, and also provides a well-defined interface for connecting to other bus architectures. ARM is in the unique position to provide an optimized compute platform that uses ARM® Cortex® processors, Mali GPU and ARM CoreLink™ CCI-400 technologies. This heterogeneous approach means that a range of applications is more efficiently processed when shared between the CPU and the GPU. This makes full use of the inherent capabilities of each system component to achieve the best possible balance of power and performance.
Mali-400 MP has a fully programmable architecture providing high-performance support for both shader-based and fixed-function graphics APIs. It provides class leading anti-aliasing capabilities ensuring optimal image quality, with virtually no performance overhead. A wide range of third party applications, middleware and tools support through the ARM Mali ecosystem program. These are pre-validated with other ARM hardware and software products, as well as a wide array of third party applications and content.
|Advanced tile-based deferred rendering and local buffering of intermediate pixel states||Reduced memory bandwidth overhead and lower power consumption|
|Efficient alpha blending of multiple layers in hardware||Unlimited number of blended layers without additional bandwidth consumption or unexpected performance drops|
|Full Scene Anti-Aliasing (FSAA) using rotated grid multi sampling||Significantly higher quality and performance than alternative oversampling methods|
|Integrated MMU based on standard ARM MMU||Allows virtualization of GPU memory resources and fine-grained memory protection|
|Fully autonomous GPU||Enables maximum parallelization of CPU and GPU tasks|
|Independent CPU and GPU power management||Maximize battery life, minimize heat dissipation|
|Fully optimized production quality software drivers||Maximum efficiency with low memory fragmentation, reduced integration time and cost, reduced support burden|