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The AES on CUDA application enables massively multithreaded many-core chip with concurrent threads providing huge economies of scale with faster encryption and decryption. CUDA scalable parallel programming model allows programs to run on multiple processors without recompiling. |
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Advantages
- Maximize the use of high-bandwidth memory
- Optimizes performance by overlapping memory access with HW computation
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AES Library API
- API for memory allocation on device (GPU)
- Free up memory allocated on device
- Memory copy (Host to Host, Host to device, Device to host, Device to Device)
- Synchronizes the host with device
- Error Query Function
- Returns number of bits in cipher key in particular mode.
- Initialization and allocation of memory for AES
- Encryption kernel call
- Decryption kernel call
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