Heterogeneous Workloads Enable High-Performance Embedded Computing
SWAP-C is a part of the latest trends in heterogeneous computing. These trends are increasing efficiency and allowing more data to be processed with less power to allow high-level computing in smaller environments and devices. Rather than take a common, brute-force approach to all problems on a single type of processor, heterogeneous computing uses the best silicon for the job. By combining general-purpose processors with FPGAs, network processors, and GPUs, the most efficient solution can be used.
Advances in heterogeneous computing have driven multi-card solutions to single-card solutions and are now enabling single-chip solutions. A single package with a CPU, FPGA, and GPU not only provides a higher level of computing in small environments, but allows all devices to talk to each other over high-speed interconnects and shared memory.
