Analog and RF IC's have no desire to be so complex, not to mention the cost. Granted this is only for the most demanding applications. It all depends on what you're trying to do.Ī billion transistors seems like a lot, but a trillion is now the record to beat, or at least a common ground to start from. Other peripherals for managing USB, Bluetooth, WiFi, and interfacing Processors (most likely), some GPUs, some video encode/decodeĪccelerators, maybe some DSPs, some networking peripherals, and many If you open up a 1 billion-transistor cell phone processor, you'llįind the most varied mix of all. There are split maybe 50-50 between compute/data movement and memory. Operations, and some ARMs to schedule everything. Microsecond latencies, some highly capable general purpose DSPsĭedicating most of their transistors to multiply-accumulate Various over-the-air encoding protocols, a large network-acceleratingīlock for handling millions of packets whizzing through the device at You'll find multiple dedicated signal processing blocks for handling Station applications (something I worked with in a previous job),
If you open up a 1 billion-transistor DSP optimized for cellular base Ton of matrix-friendly floating point compute hardware, along with RAM There isn't much branch control logic, but a Hundreds of very specialized, deeply pipelined floating point computeĭatapaths, fine-grain thread schedulers, and memory transfer enginesĭesigned to stream texture, vertex and other data through the If you open up a 1 billion-transistor GPU processor, you'll see These guys are optimized for many parallel database threads operating If you open up a 1 billion-transistor SPARC server processor, you'llįind a bunch of fairly simple in-order SPARC cores and a ton of cache.
#Cpu transistor q29 data east mac
Purpose, varied workloads a typical Windows or Mac might encounter. This mix of transistors reflect the general You'll also see many transistors dedicated to Handful of very complex CPU cores, with many transistors dedicated toĭecoding and scheduling instructions, predicting branches, and If you open up a 1 billion-transistor x86 processor, you'll see a How you spend your transistors really depends on the problem you're
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