Algorithm design and redesign
Create a new algorithm or restructure an existing one to expose parallelism and remove performance bottlenecks.
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ALGORITHM DEVELOPMENT
Performance by
design.
We develop high-performance algorithms from scratch or optimize existing implementations around the target compute platform.
Discuss a project01 / THE PRACTICE
Make the algorithm and platform work as one.
Performance comes from more than improving individual instructions. We examine the algorithm, compute architecture, dataflow, and storage together, then balance the system to extract the available performance.
Depending on the business need, that can mean reducing latency, increasing throughput, lowering compute cost, or finding the right combination of all three.
Platform optimization
Adapt implementations to the target CPU, GPU, FPGA, or custom silicon instead of treating compute as interchangeable.
System architecture
Balance compute, data movement, memory, and storage so one part of the system does not limit the rest.
Parallel execution
Redesign data structures and work decomposition to maximize useful concurrency across the platform.
Critical-kernel optimization
Use low-level techniques, including assembly code where justified, for the most performance-sensitive kernels.
Measured tradeoffs
Profile and evaluate latency, throughput, resource use, and cost against the outcomes the product requires.
02 / SYSTEM VIEW
COMPUTEChoose and use the right execution resources.
DATAFLOWKeep data moving without starving the compute.
STORAGEMatch memory and storage behavior to the workload.
RESULTBalance the system around measurable goals.
Explore another practice
LET'S FIND THE BOTTLENECK
Need more from
the platform?
Tell us about the workload, current implementation, and performance target.