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Merge pull request #33 from opensolvers/site-updates
Per-board compute-backend SVGs on board pages
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boards/F3.md

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@@ -2,6 +2,12 @@ The Banana Pi BPI-F3 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60**
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![](f3.jpg)
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## Compute paths on this board
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Same **K1** silicon as the [Orange Pi RV2](RV2.html) — scalar, **RVV**, **IME**, and integrated **GPU** (identical compute features; half the RAM).
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![Compute backends on the Banana Pi BPI-F3](../assets/images/compute-backends-k1.svg)
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Cross-board confirmation from [opensolvers/benchmarks](https://github.com/opensolvers/benchmarks): same `gemv_n` bug, same [easyconfigs#26444](https://github.com/easybuilders/easybuild-easyconfigs/pull/26444) fix, bit-identical residuals where measured.
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## IME (Integer Matrix Extension)

boards/RV2.md

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@@ -2,6 +2,12 @@ The Orange Pi RV2 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60** co
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![](rv2.png)
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## Compute paths on this board
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The K1 SoC exposes all four paths we benchmark: scalar baseline, **RVV** OpenBLAS, **IME** int4 matrix ops (cluster 0), and an integrated **GPU**.
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![Compute backends on the Orange Pi RV2](../assets/images/compute-backends-k1.svg)
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## IME (Integer Matrix Extension)
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Besides RVV, each X60 core cluster exposes SpaceMiT's **IME** — a dedicated **int8 matrix unit** via the custom instruction `smt.vmadot`. One `vmadot` fuses a **4×4 int32** tile update from two **4×8 int8** operand tiles; this is the hardware behind the part's quoted AI TOPS rating.

boards/VisionFive2.md

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@@ -2,6 +2,12 @@ The StarFive VisionFive 2 board is built around the StarFive **JH7110** SoC: fou
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![](vf2.jpg)
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## Compute paths on this board
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The JH7110 has **scalar** CPU cores (U74-tuned OpenBLAS) and an integrated **GPU** — no RVV vector unit or vendor matrix extension.
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![Compute backends on the VisionFive 2](../assets/images/compute-backends-visionfive2.svg)
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## HPL via EESSI
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See also the [HPL app overview](../apps/hpl.html).

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