Bit Vector In-Memory Accelerator for Genome Alignment
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Solution Overview
Problem
Current genome sequencing technologies face inefficiencies in read mapping due to high error rates in long-read sequencing, leading to substantial time and resource consumption in identifying accurate alignments between DNA fragments and reference genomes.
Innovation Solution
The implementation of a bit vector-based in-memory accelerator (BitMAC) using a modified Bitap algorithm, which supports both short and long reads, reduces loop-carried data dependencies and enables parallel processing, combined with processing-in-memory (PIM) to enhance memory bandwidth and efficiency in genome sequence alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional software-based read mapping is used to align DNA fragments with reference genomes, then alignment accuracy can be maintained, but processing time and computational resource consumption increase substantially
Solution Approach 1:
The patent replaces traditional software-based read mapping algorithms with a hardware-accelerated system using FPGAs and ASICs. The bit vector-based in-memory accelerator (BitMAC) implements the Bitap algorithm in hardware, substituting mechanical/software processing with electronic/hardware processing to achieve faster alignment while maintaining accuracy
Solution Approach 2:
The patent introduces bit vector data structures as an intermediary representation between the raw DNA sequences and the alignment results. This bit vector intermediary enables efficient parallel processing in hardware by encoding sequence information in a format optimized for bitwise operations, thus speeding up the alignment process without sacrificing accuracy
2Length of moving object
If long-read sequencing technologies are used to generate longer DNA base pairs, then coverage of complex genomic regions improves, but error rates increase leading to more computational resources needed for accurate alignment
Solution Approach 1:
The patent changes the parameter of error tolerance by implementing adjustable threshold mechanisms in the hardware accelerator. The system can dynamically adjust the number of allowed mismatches and gaps based on read length and quality metrics, enabling accurate alignment of long reads with higher error rates by adapting the alignment criteria to the specific characteristics of long-read data
3Measurement precision
If software-based alignment algorithms are used to handle high error rates in long reads, then alignment accuracy can be improved, but computational complexity and resource consumption increase
Solution Approach 1:
The patent replaces complex software-based alignment algorithms with simplified hardware implementations that use bit vector operations. The hardware accelerator performs parallel bitwise comparisons and error tolerance checks, reducing computational complexity by leveraging the parallel processing capabilities of hardware rather than sequential software execution
Solution Approach 2:
The patent segments the alignment process into distinct hardware modules: bit vector generation, parallel comparison, error tolerance checking, and result generation. This segmentation allows each module to be optimized independently and processed in parallel, reducing overall computational complexity while maintaining alignment accuracy for high-error-rate long reads
4Device complexity
If traditional memory access methods are used for sequence data, then system simplicity is maintained, but memory bus bottlenecks reduce processing efficiency
Solution Approach 1:
The patent merges the memory storage and processing functions by implementing processing-in-memory (PIM) architecture. The bit vector data structures are stored in and processed from the same memory device, eliminating the need for separate memory access and data transfer operations. This merging of storage and processing eliminates memory bus bottlenecks while maintaining relative system simplicity through integrated design
Data Source
AI summary
A system is provided that includes a bit vector-based distance counter circuitry configured to generate one or more bit vectors encoded with information about potential matches and edits between a read and a reference genome, wherein the read comprises an encoding of a fragment of deoxyribonucleic acid (DNA) encoded via bases G, A, T, C. The system further includes a bit vector-based traceback circuitry configured to divide the reference genome into one or more windows and to use the plurality of bit vectors to generate a traceback output for each of the one or more windows, wherein the traceback output comprises a match, a substitution, an insert, a delete, or a combination thereof, between the read and the one or more windows.