Financial Services & FinTech
Find Bugs and Bottlenecks in Quantitative Code
Debug and profile C++ and CUDA pricing, risk and simulation code on multithreaded CPUs and GPUs.
Line-Level
profiling of C++, Fortran and Python. See which lines of your pricing and risk code take the time, and why.
For Quantitative Research and Risk Teams
Monte Carlo pricing, risk aggregation and model calibration often run as large parallel jobs on CPU and GPU clusters. Linaro Forge helps quant and risk technology teams find bugs and performance problems in that code.
Catch Memory Errors in C++ Pricing Code
Detect out-of-bounds writes, leaks, double frees and invalid pointers in heap memory, and see where each block was allocated.
Debug Multithreaded Code
Step threads individually or together, compare variables across threads, and see every thread’s stack at once.
Profile GPU Risk Calculations
See GPU utilization, CUDA kernel time and host-to-device transfer rates for GPU-accelerated risk and Monte Carlo code.
Profile Optimized Builds
Profile release builds with minimal debug information, usually with under 5% overhead, to see where compute, memory access and thread time goes.
See Linaro Forge on Your Own Code
Book a demo with our engineers, or start a free trial.