f353e00172
- Restructure .env.example with security-focused documentation, service-specific environment file references, and AWS Secrets Manager integration - Update CLI tests workflow to single Python 3.13 version, add pytest-mock dependency, and consolidate test execution with coverage - Add comprehensive security validation to package publishing workflow with manual approval gates, secret scanning, and release
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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Basic Migration Example
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Shows how to migrate from direct CUDA calls to the new abstraction layer.
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"""
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# BEFORE (Direct CUDA)
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# from high_performance_cuda_accelerator import HighPerformanceCUDAZKAccelerator
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#
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# accelerator = HighPerformanceCUDAZKAccelerator()
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# if accelerator.initialized:
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# result = accelerator.field_add_cuda(a, b)
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# AFTER (Abstraction Layer)
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import numpy as np
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from gpu_acceleration import GPUAccelerationManager, create_gpu_manager
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# Method 1: Auto-detect backend
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gpu = create_gpu_manager()
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gpu.initialize()
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a = np.array([1, 2, 3, 4], dtype=np.uint64)
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b = np.array([5, 6, 7, 8], dtype=np.uint64)
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result = gpu.field_add(a, b)
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print(f"Field addition result: {result}")
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# Method 2: Context manager (recommended)
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from gpu_acceleration import GPUAccelerationContext
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with GPUAccelerationContext() as gpu:
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result = gpu.field_mul(a, b)
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print(f"Field multiplication result: {result}")
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# Method 3: Quick functions
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from gpu_acceleration import quick_field_add
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result = quick_field_add(a, b)
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print(f"Quick field addition: {result}")
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