Why Accelerate?

Exponential Growth of Computational Load

Growth of genomic data is far outpacing the historical doubling of computer power (Moore's Law). The computational demand placed on your servers is further compounded by the addition of new data sources (many completed genomes are being reported monthly), increase in the size and number of queries, a growing user base of bioinformatics scientists, and new algorithms and new methods of analysis.

The illustration above shows the compounding of genomics-related computational load. As load increases, standard CPU-based hardware becomes less able to handle the corresponding genomic analysis.

Multipliers of Computational Load include:
• Increase in the number of queries
• Larger query length and database sizes
• Addition of new internal and licensed data sources
• New algorithms and analysis methods
• Increased number of users

Near-term implications of rapidly growing computing load:

• Database growth will continue
• More demanding genome to genome comparisons will be required
• Computationally costly but sensitive algorithms (e.g., HMMs) will be needed to remain competitive
• Conventional server farms will grow increasingly impractical

DeCypher maximizes your computing infrastructure, giving you the performance of a large server farm but with significantly lower cost of ownership. DeCypher can outperform several thousand CPUs for applications such as Hidden Markov Model analysis (HMM) at a fraction of the cost, providing the most research horsepower per dollar of budget. This gives you a strategic advantage in achieving your computational goals.

Contact us today to help you discover the solution to your computational challenges.

DeCypher: [Introduction] [Scalability] [Algorithms]
[FPGA Technology] [Interface] [Platform]