paracodex-cuda-sycl-analysis

name	paracodex-cuda-sycl-analysis
description	ParaCodex prompt for cuda to sycl analysis step.

CUDA to SYCL Migration - Analysis Phase

Directory: {kernel_dir}/
Files: {file_listing}
Reference: Check Makefile in {kernel_dir}/ (do not modify)

Task

Analyze CUDA code in {source_dir}/ for migration to SYCL. produce {kernel_dir}/analysis.md. Copy source files to {kernel_dir}/.

Process

0. Setup

• Copy {file_listing} from {source_dir} to {kernel_dir}.

1. API & Pattern Scan

Reference: references/examples.md.

• Textures: Check for texture memory (High complexity).
• Dynamic Parallelism: Check for cudaLaunchKernel in device code (Not supported).
• Libraries: Check usage of cu* libs vs oneMKL.
• Structure: Decide whether the CUDA kernel/file split should be preserved, fused, or flattened in SYCL.
• Check whether the default run size is too small to expose submission, wait, or transfer overhead.
• Mark kernels as small-input sensitive only when tiny runs are likely to bias the SYCL decomposition or memory-model choice.
• Recommend a larger profiling size that materially exercises the GPU on the available hardware; do not stop at an input that still produces only short, launch-dominated kernels unless memory or timeout limits force it.
• Read system_info_summary.txt and choose that size against the actual device memory and compute capability; prefer the largest short-run, memory-safe input that should load the GPU meaningfully.
• If the chosen larger size still leaves the GPU weakly utilized or mostly launch/setup bound, mark it insufficient and recommend pushing higher within the practical budget.

2. Output Report

Reference: references/output.md (Use template).

• Fill "Migration Complexity".
• Fill "API Inventory".
• Fill "Kernel Details".
• Fill "Structural Recommendations".
• Fill "Scalability Check".
• Flag Issues: Textures, Dynamic Parallelism, Proprietary libs.

Constraints

• No git commands.