Merge pull request #32 from opensolvers/site-updates

Update compute-backends diagram with ISA and GPU labels

Author: hugomeiland

README.md

@@ -8,14 +8,14 @@ We benchmark **scientific libraries** and **applications** on consumer RISC-V bo
 
 Each RISC-V board exposes several compute paths. We benchmark and tune them independently — often swapping backends at runtime via FlexiBLAS rather than rebuilding every app.
 
-![Scalar, Vector, Specific, and GPU compute paths on the board](assets/images/compute-backends.svg)
+![Scalar, Vector, Custom, and GPU compute paths on the board](assets/images/compute-backends.svg)
 
 | Path | What it is | Examples on our boards |
 | ---- | ---------- | ---------------------- |
 | **Scalar** | Scalar ISA and portable C kernels — the correctness baseline | `rv64gc` on VisionFive 2; `OPENBLAS_CORETYPE=RISCV64_GENERIC`; U74 **4×4 DGEMM** tuning |
-| **Vector** | ISA vector extensions (RVV) in shared libs | OpenBLAS `RISCV64_ZVL256B` / `ZVL128B` on X60; [FFTW `r5v`](scientific-libs/fftw.html) **1.06–1.60×** vs scalar; the `gemv_n` bug we fixed |
-| **Specific** | Silicon-specific custom units beyond RVV | X60 **IME** (`smt.vmadot`) int8 on [RV2](boards/RV2.html) / [F3](boards/F3.html); [ONNX Runtime](apps/onnx.html) int4 via MLAS |
-| **GPU** | Discrete or integrated accelerators | On the roadmap — not yet in our RISC-V board benchmarks |
+| **Vector** | ISA vector extensions (RVV) in shared libs | OpenBLAS `RISCV64_ZVL256B` (`rv64gcv` + `Zvl256b`) on X60; [FFTW `r5v`](scientific-libs/fftw.html) **1.06–1.60×** vs scalar; the `gemv_n` bug we fixed |
+| **Custom** | Custom ISA extensions beyond standard RVV | X60 **IME** / **XsmtVdot** (`smt.vmadot`) int8 on [RV2](boards/RV2.html) / [F3](boards/F3.html); [ONNX Runtime](apps/onnx.html) int4 via MLAS |
+| **GPU** | Integrated Imagination GPUs (OpenCL / Vulkan) | **IMG BXE-4-32 MC1** on [VisionFive 2](boards/VisionFive2.html) (JH7110); **IMG BXE-2-32** on [RV2](boards/RV2.html) / [F3](boards/F3.html) (K1) — present on silicon, **GPGPU benchmarks not yet** |
 
 Recent highlights on the Orange Pi RV2 (SpaceMiT X60, RVV): fixing an OpenBLAS `gemv_n` bug restores correctness across [BLAS](scientific-libs/blas.html), [LAPACK](scientific-libs/lapack.html), [ELPA](scientific-libs/elpa.html), [ScaLAPACK](scientific-libs/scalapack.html), [HPL](apps/hpl.html), and [Quantum ESPRESSO](apps/qe.html). [FFTW `r5v`](scientific-libs/fftw.html) wins **1.06–1.60×** in isolation but **~0%** inside a real QE SCF (`FFTW_ESTIMATE`); [GROMACS](apps/gromacs.html) sees **1.23×** on isolated `PME 3D-FFT`. ONNX `accuracy_level=4` unlocks **9–10×** int4 decode — [ONNX Runtime](apps/onnx.html) / [MLAS](scientific-libs/mlas.html).
 

assets/images/compute-backends.svg

@@ -1,4 +1,4 @@
-The Banana Pi BPI-F3 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60** cores at 1.6 GHz (`rv64gcv`, **RVV 1.0, VLEN=256**), **3.7 GB RAM** — same chip as the [Orange Pi RV2](RV2.html), but half the memory.
+The Banana Pi BPI-F3 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60** cores at 1.6 GHz (`rv64gcv`, **RVV 1.0, VLEN=256**), integrated **IMG BXE-2-32** GPU (OpenCL 3.0 / Vulkan 1.3), **3.7 GB RAM** — same chip as the [Orange Pi RV2](RV2.html), but half the memory.
 
 ![](f3.jpg)
 

boards/F3.md

@@ -1,4 +1,4 @@
-The Orange Pi RV2 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60** cores at ~1.6 GHz (`rv64gcv`, **RVV 1.0, VLEN=256**), 8 GB RAM.
+The Orange Pi RV2 is built on the SpaceMiT **K1** SoC: eight **SpacemiT X60** cores at ~1.6 GHz (`rv64gcv`, **RVV 1.0, VLEN=256**), integrated **IMG BXE-2-32** GPU (OpenCL 3.0 / Vulkan 1.3), 8 GB RAM.
 
 ![](rv2.png)
 

boards/RV2.md

@@ -1,4 +1,4 @@
-The StarFive VisionFive 2 board is built around the StarFive **JH7110** SoC: four **SiFive U74** cores at 1.5 GHz (`rv64gc`, scalar — no vector extension), 8 GB RAM, typically running Ubuntu 24.04.
+The StarFive VisionFive 2 board is built around the StarFive **JH7110** SoC: four **SiFive U74** cores at 1.5 GHz (`rv64gc`, scalar — no vector extension), integrated **IMG BXE-4-32 MC1** GPU (OpenCL 3.0 / Vulkan 1.2), 8 GB RAM, typically running Ubuntu 24.04.
 
 ![](vf2.jpg)