Hardware acceleration of the SED algorithm for Biomolecular activity predictionBiomolecular activity algorithm (SED) uses FPGA parallel programmability to achieve hardware acceleration.
Zhengdong KangPublished in: ISAIMS (2023)
Keyphrases
- hardware implementation
- real time
- computational complexity
- detection algorithm
- parallel implementation
- optimal solution
- k means
- experimental evaluation
- learning algorithm
- times faster
- probabilistic model
- np hard
- cost function
- dynamic programming
- computational cost
- scheduling problem
- hardware architecture
- simulated annealing
- objective function
- search space
- convergence rate
- preprocessing
- computing systems
- software implementation
- parallel computation
- significant improvement
- expectation maximization
- high speed
- high accuracy