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Explicit data graph execution, or EDGE, is a type of instruction set architecture (ISA) which intends to improve computing performance compared to common processors like the Intel x86 line. EDGE combines many individual instructions into a larger group known as a "hyperblock".
The Edge TPU is only capable of accelerating forward-pass operations, which means it's primarily useful for performing inferences (although it is possible to perform lightweight transfer learning on the Edge TPU [48]). The Edge TPU also only supports 8-bit math, meaning that for a network to be compatible with the Edge TPU, it needs to either ...
TRIPS was a microprocessor architecture designed by a team at the University of Texas at Austin in conjunction with IBM, Intel, and Sun Microsystems.TRIPS uses an instruction set architecture designed to be easily broken down into large groups of instructions (graphs) that can run on independent processing elements.
The Time Processing Unit (TPU) and Enhanced Time Processing Unit (eTPU) are largely autonomous timing peripherals found on some Freescale parts. MC68332 (TPU) MPC5554 (eTPU) MPC5777C (eTPU2+) MCF5232, MCF5233, MCF5234, MCF5235 (eTPU)
Google Tensor is a series of ARM64-based system-on-chip (SoC) processors designed by Google for its Pixel devices. It was originally conceptualized in 2016, following the introduction of the first Pixel smartphone, though actual developmental work did not enter full swing until 2020.
Multi-core, multithreading, 4 hardware-based simultaneous threads per core which can't be disabled unlike regular HyperThreading, Time-multiplexed multithreading, 61 cores per chip, 244 threads per chip, 30.5 MB L2 cache, 300 W TDP, Turbo Boost, in-order dual-issue pipelines, coprocessor, Floating-point accelerator, 512-bit wide Vector-FPU
Coprocessor: N/A Google Edge TPU. 4 TOPS of performance NPU. 3 TOPS of performance N/A RockchipNPU N/A RAM 2GB dual channel LPDDR3: 1 GB LPDDR4: 4 GB dual channel LPDDR4 for system, 2 GB LPDDR3 for NPU 2GB/4GB dual-channel LPDDR4 RAM options Dual-channelLPDDR4X 2GB / 4GB 2GB/4GB/8 GB dual-channel LPDDR4 RAM options Storage
Neoverse V2 (code named Demeter) is derived from the ARM Cortex-X3 and implements the ARMv9.0-A instruction set. It was officially announced by Arm on September 14, 2022. [9] [10] NVIDIA Grace, [11] AWS Graviton4 [12] and Google Axion [13] are based on the Neoverse V2.