We don’t believe in one-size-fits-all solutions. Every project begins with thorough code analysis and profiling to identify bottlenecks and parallelization opportunities. We then design and implement custom parallel strategies that balance performance gains with code maintainability, ensuring your team can continue to develop and enhance the optimized codebase.
Our Parallel Programming Services
- Code Parallelization : Transform your sequential applications into high-performance parallel implementations. We analyze your existing codebase, identify parallelization opportunities, and implement efficient parallel algorithms using industry-standard technologies. The deliverables includes:
- Parallelized source code with comprehensive documentation
- Performance benchmarks demonstrating speedup achieved
- Technical report detailing optimization strategies employed
- Knowledge transfer sessions for your development team
- Performance Optimization : Already have parallel code but not achieving expected performance? We conduct deep performance analysis to identify bottlenecks, memory access patterns, load imbalance issues, and communication overhead, then implement targeted optimizations. Services Include:
- Detailed profiling and performance analysis
- Cache optimization and memory access pattern improvements
- Load balancing and work distribution optimization
- Communication overhead reduction
- Algorithm redesign for better parallelism
- GPU Acceleration : Leverage the massive computational power of modern GPUs to accelerate compute-intensive kernels. We port critical code sections to CUDA, OpenCL, or HIP, achieving dramatic performance improvements for suitable workloads. Expertise Includes:
- Kernel development and optimization
- Memory transfer optimization
- Multi-GPU implementations
- CPU-GPU hybrid approaches
- Performance portability across GPU vendors
- Scalability Analysis & Tuning : Ensure your parallel application scales efficiently from workstations to large HPC clusters. We conduct comprehensive scalability studies, identify scaling bottlenecks, and implement solutions to achieve near-linear scaling on target architectures. Analysis Includes:
- Strong and weak scaling studies
- Amdahl’s law and scalability predictions
- Communication pattern analysis
- I/O bottleneck identification
- Recommendations for optimal resource utilization
- Legacy Code Modernization : Breathe new life into legacy scientific and engineering codes. We modernize outdated serial applications, implementing modern parallel programming paradigms while preserving numerical accuracy and maintaining compatibility with existing workflows. Modernization Services:
- Code refactoring for parallelism
- Migration from deprecated libraries
- Implementation of modern programming standards
- Testing and validation against legacy results
- Documentation and training
- Custom Consulting & Advisory : Need expert guidance on your parallel computing strategy? We provide specialized consulting services including:
- Architecture selection and hardware recommendations
- Parallel algorithm design and feasibility studies
- Code reviews and best practices assessment
- Training and workshops for development teams
- Ongoing support and maintenance contracts
Our Process
- Initial Consultation : Discussion of your project requirements, computational challenges, and performance goals. We assess feasibility and provide initial recommendations.
- Code Analysis & Profiling : Comprehensive analysis of your codebase to identify bottlenecks, parallelization opportunities, and optimal strategies.
- Strategy & Proposal : Detailed proposal outlining recommended approach, expected performance improvements, timeline, and cost.
- Implementation : Systematic parallelization and optimization with regular progress updates and intermediate deliverables.
- Testing & Validation : Rigorous testing to ensure correctness, benchmarking to demonstrate performance gains, and validation against original results.
- Delivery & Knowledge Transfer : Complete delivery with documentation, performance reports, and training sessions for your team.
- Ongoing Support : Optional post-delivery support, maintenance, and further optimization as your needs evolve.
Frequently Asked Questions
Q: What types of applications can benefit from parallelization?
Applications that perform repetitive computations, process large datasets, or spend significant time in computational loops are prime candidates. This includes scientific simulations, data analysis, machine learning training, financial modeling, image processing, and many engineering applications.
Q: How much speedup can I expect?
Speedup depends on the nature of your code, available parallelism, and target hardware. We typically see 5-15x speedup for well-suited applications on multi-core systems, and potentially much higher with GPU acceleration. We provide realistic estimates after initial code analysis.
Q: Will parallelization change my results?
Properly implemented parallelization should maintain numerical accuracy within acceptable tolerances. We validate optimized code against original results and implement techniques to maintain deterministic behavior when required.
Q: Do you work with proprietary code under NDA?
Yes, we routinely work with proprietary codebases under comprehensive non-disclosure agreements. Your intellectual property and confidential information are fully protected.
Q: Can you train our team on parallel programming?
Absolutely! We offer customized training workshops covering parallel programming concepts, practical implementation, and best practices tailored to your team’s needs and application domain.
Q: What if we need ongoing support after project completion?
We offer flexible maintenance and support contracts to assist with future optimizations, code enhancements, or troubleshooting as your application evolves.
Q: Do you work remotely or on-site?
We primarily work remotely, which allows us to serve clients globally. For projects requiring on-site presence, we can arrange visits to client locations in India or internationally.