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Once a μOP is issued to the VPU from one of the cores it is sent to the arbitration unit. Arbitration is completely hardware-based with execution sharing and utilization being entirely transparent to software. There is no user or OS-level software intervention for the arbitration of vector unit accesses between the cores. Furthermore, from a software perspective, each core appears to have dedicated access to the vector unit. Scheduling is very fine-grained between the cores to make sure there is minimal overhead caused by the sharing. There is no penalty for sharing or using the VPU. Arm says that they see very minimal performance overhead due to the sharing of the VPU. In their own internal testing, on the SPECfp 2006 benchmark, they see around a 1% performance degradation if both cores are executing FP/vector instructions at the same time as they compete to use the vector datapath. | Once a μOP is issued to the VPU from one of the cores it is sent to the arbitration unit. Arbitration is completely hardware-based with execution sharing and utilization being entirely transparent to software. There is no user or OS-level software intervention for the arbitration of vector unit accesses between the cores. Furthermore, from a software perspective, each core appears to have dedicated access to the vector unit. Scheduling is very fine-grained between the cores to make sure there is minimal overhead caused by the sharing. There is no penalty for sharing or using the VPU. Arm says that they see very minimal performance overhead due to the sharing of the VPU. In their own internal testing, on the SPECfp 2006 benchmark, they see around a 1% performance degradation if both cores are executing FP/vector instructions at the same time as they compete to use the vector datapath. | ||
− | All scalar and floating-point NEON and SVE2 instructions are executed through the vector datapath | + | All scalar and floating-point NEON and SVE2 instructions are executed through the vector datapath. This datapath itself is configurable. Possible configurations include having two 64b or two 128b data pipes - twice the peak bandwidth delta between the two configurations. A configuration of 2x128b data pipes will offer twice the peak compute of the {{\\|Cortex-55}}. Depending on the configuration, designers have the flexibility in deciding between area and performance depending on their application and workload characterization. In the 2x128b configuration, the Cortex-A510 complex can achieve 16 FP16 FLOPS/clk. Note that regardless of the vector unit size or configuration, for SVE, there is a 128b vector register file. |
== Performance claims == | == Performance claims == |
Facts about "Cortex-A510 - Microarchitectures - ARM"
codename | Cortex-A510 + |
core count | 1 + and 2 + |
designer | ARM Holdings + |
first launched | May 25, 2021 + |
full page name | arm holdings/microarchitectures/cortex-a510 + |
instance of | microarchitecture + |
instruction set architecture | ARMv9.0 + |
manufacturer | TSMC +, Samsung +, GlobalFoundries + and SMIC + |
microarchitecture type | CPU + |
name | Cortex-A510 + |
process | 7 nm (0.007 μm, 7.0e-6 mm) +, 6 nm (0.006 μm, 6.0e-6 mm) + and 5 nm (0.005 μm, 5.0e-6 mm) + |