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Improving future electronic system performance can only be achieved by exploiting parallelism on all system levels. Combining multicore and coprocessor technology promises extreme computing power for highly CPU-time-consuming applications. FPGA-based accelerators not only offer the opportunity to speed up an application by implementing their compute-intensive kernels into hardware, but also to adapt to the dynamical behavior of an application.
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This book describes strategies for future system design in multiprocessor system-on-chip MPSoC architectures. Both hardware design and integration of new development tools are discussed.
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System on a chip
In truth, the foundries work for Apple and follow their instructions to the letter. To insure the communication is clear Srouji, has a small technology team that works directly with the foundry on things like schedules and choice of transistors. Communication is also the key ingredient inside Apple. Schiller and Srouji described disparate teams that somehow take a collaborative approach. Apple is not, of course, always starting with a clean slate. Even with the new name, which is a reference to the focus on AI-influenced technology, Schiller and Srouji confirmed to me that the A11 Bionic builds on many of the performance gains and technologies first introduced in the A10 Fusion.
Schiller described the A11 Bionic as a mix of design, architecture, and technology changes — some completely new, some updates to existing processor designs. The high-performance cores and efficiency cores introduced with the A10 Fusion CPU got an iterative update, including the addition of two more cores and the ability to handle asymmetric multi-processing, which means the chip can run 1, 2, 3, 4, 5, or 6 cores at once.
Multiprocessor System-on-Chip | SpringerLink
Managing the core use on the now nanometer CPU is one of the reasons the A11 Bionic, according to Apple, is 70 percent more energy efficient even while being 25 percent faster than the A How the system decides which cores to use high performance or high efficiency and how many is a little non-obvious. Gaming might use more cores, said Srouji, but something as simple as predictive texting, where the system suggests the next word to type, can tap into the high-performance CPUs, as well.
The image signal processor, which works with the cameras, got an update for improved color and low-light performance. And it's helping power the new Portrait Lighting mode front and back cameras , which uses two different forms of 3D-face mapping to create on-the-fly studio lighting effects. The secure element has been redesigned.
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I should have anticipated his answer. Building its own GPU is also another key to owning the entire stack. Schiller noted that now Apple has everything from graphics hardware to compilers, programming languages, to the OS — including frameworks and libraries. The more Apple owns across the iPhone and silicon development, the more efficiencies it can create. If you lift the iPhone, it wakes up instantly.