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@bniladridas bniladridas commented Nov 23, 2025

Description

Implement SAXPY (Single-precision A*X + Y) compute kernel with bounds check, optimal dispatch sizing, and timing measurement. Update host code for scalar a and vectors X, Y. Update README with SAXPY example and output. Merged test-spdx-bot branch for latest SPDX compliance fixes.

Type of Change

  • New feature (SAXPY kernel implementation)
  • Code improvement (bounds check, optimal dispatch)
  • Documentation update (README example)
  • CI/CD update (merged SPDX fixes)

Checklist

  • Code compiles with swiftc main.swift -framework Metal -o saxpy
  • Metal kernel validates with xcrun metal kernel.metal
  • CI passes (GitHub Actions, GitLab CI, CircleCI)
  • SPDX headers added to new/modified files
  • Documentation updated
  • Ready for review

Screenshots (if applicable)

N/A - Kernel execution verified locally.

add saxpy (y = a*x + y) with bounds check
update host for scalar a and vectors x, y
update readme with saxpy example
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Summary of Changes

Hello @bniladridas, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces the SAXPY (Single-precision A*X + Y) operation as a Metal compute kernel, significantly enhancing the project's capability for parallelized linear algebra on Apple Silicon GPUs. The change moves from a basic vector addition to a more versatile and widely used mathematical function, with corresponding updates to the host application and documentation to demonstrate its usage and benefits.

Highlights

  • SAXPY Kernel Implementation: A new Metal compute kernel has been implemented to perform the SAXPY operation (Y = a*X + Y), replacing the previous simple vector addition. This kernel includes bounds checking and is designed for optimal dispatch on Apple Silicon GPUs.
  • Host Code Updates: The main.swift host code has been updated to utilize the new SAXPY kernel. This includes changes to buffer creation, data initialization for the scalar 'a' and vectors 'X' and 'Y', and the binding of these buffers to the compute encoder.
  • Documentation and Example Refresh: The README.md file has been revised to reflect the SAXPY functionality, providing a clear example of its usage, including input values and the expected output, along with a sample output snippet.
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✅ SPDX check passed — all changed files include the required license header.

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Code Review

This pull request successfully implements the SAXPY (Y = a*X + Y) compute kernel, replacing the previous vector addition functionality. The changes are well-contained, updating the Metal kernel, the Swift host code, and the README. My main feedback is to remove some leftover content from the previous implementation in the README and to consider an optimization in the Swift host code by not embedding the Metal shader as a string, which will improve maintainability.

Comment on lines 58 to 59
Elapsed (s): 0.001
Sample results:

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medium

It appears there's a duplicated Sample Output section here. This block seems to be a leftover from the previous vector_add implementation and should be removed to avoid confusion.

Comment on lines 17 to 31
let source = """
#include <metal_stdlib>
using namespace metal;
kernel void vector_add(
device const float* A [[buffer(0)]],
device const float* B [[buffer(1)]],
device float* C [[buffer(2)]],
kernel void saxpy(
constant float &a [[buffer(0)]],
device const float* X [[buffer(1)]],
device float* Y [[buffer(2)]],
constant uint &count [[buffer(3)]],
uint id [[thread_position_in_grid]]
) {
if (id >= count) return;
C[id] = A[id] + B[id];
Y[id] = a * X[id] + Y[id];
}
"""

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medium

Embedding the Metal shader source code directly as a string inside the Swift file can make it harder to maintain, especially as the kernel gets more complex. It also misses out on features like syntax highlighting and static analysis in an IDE. It's better practice to keep the Metal code in its own .metal file and load it at runtime. This also aligns with how kernel.metal is already present in the repository.

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2 participants