Introduction

Application information collection for system migration

Collects ledger and component information about the software installed in an application system, such as software packages, middleware, and databases.

Source code porting

Analyzes the portability of software written in C/C++/ASM/Fortran/Go or an interpreted language.

Software porting assessment

Analyzes the SO library files in the software installation path in the x86 environment and checks whether these files are compatible with the Kunpeng platform.

64-bit running mode check

Identifies the 32-bit applications to be ported to the 64-bit platform and provides modification suggestions. It supports GCC 4.8.5 to GCC 10.3.0.

Byte alignment check

Checks the byte alignment of structure variables in the source code.

Memory consistency check

Checks for any memory consistency problem when the source code is ported to the Kunpeng platform and provides suggestions on inserting memory barriers.

Vectorization check

Checks vectorizable code snippets and provides modification suggestions.

Matricization check

Checks matricizable code snippets and provides modification suggestions.

Build affinity

Analyzes the content in Makefile and CMakeLists.txt that can be replaced with content in the Kunpeng library, and provides replacement suggestions and function repair.

Cache line alignment check

Checks the 128-byte alignment of structure variables in the C/C++ source code to improve memory access performance.

BC file generation

A BC file is used for memory consistency check and vectorization check.

AutoFDO

Automatic feedback-directed optimization (AutoFDO) is an effective performance improvement measure.

Data race check

The data race check function checks for any dynamic memory inconsistency problem when C/C++ source code is running on the Kunpeng platform (specifically Kunpeng 920), and provides the check result and also suggestions on inserting memory barriers.

Microarchitecture analysis

Obtains the running status of instructions on the CPU pipeline based on Arm performance monitor unit (PMU) events, helping quickly locate performance bottlenecks of the current application on the CPU. You can modify your application to make full use of hardware resources.

HPC application analysis

Collects PMU events of the system and the key metrics of OpenMP and MPI applications to help you accurately obtain the serial and parallel times of the parallel region and barrier-to-barrier, calibrated 2-layer microarchitecture metrics, instruction distribution, L3 usage, and memory bandwidth.

Memory access analysis

Accesses the PMU events of the cache and memory and analyzes the number of storage access times, hit rate, and bandwidth.

NUMA refined analysis

Obtains the refined DDR access, NUMA access bandwidth matrix, and processes' memory access information based on Arm SPE capabilities.

Roofline analysis

Helps pinpoint application bottlenecks on a given hardware platform and optimize the application accordingly.

Hotspot function analysis

Analyzes C/C++ program code, identifies performance bottlenecks, and provides details about the top hotspot functions and call stacks. The tool also displays the function call relationship in flame graphs and provides the tuning path.

Miss event analysis

Uses the Statistical Profiling Extension (SPE) capability to analyze miss events such as LLC Miss, TLB Miss, Remote Access, and Long Latency Load. You can modify your program to reduce the probability of miss events and improve the program processing performance.

Hotspot function analysis (Python/C)

Uses ptrace to sample Python programs and Python & C/C++ hybrid programs, analyzes call stacks, obtains top 20 hotspot functions, and draws flame graphs.

AI tuning

Uses Huawei-developed high-performance AI tuning solutions to optimize database and big data application performance. The tool provides optimal parameter settings for automatic tuning.

Hotspot analysis

Collects stack information about CPU, CYCLES, LOCK, CACHE_MISSES, and ALLOC events at certain points of time, collects statistics on hotspot methods in the current JVM, and displays the information in a flame graph and an inverted flame graph.

Memory usage

Collects performance data about memory allocation and release, and checks whether any allocated memory space has not been released.

Memory overwriting

Analyzes memory overwriting problems of applications and provides memory overwriting and access information.

Non-SM algorithm detection

Analyzes cryptographic algorithms that do not comply with CPCA specifications in source code and provides analysis reports.

Sensitive information scan

Scans for sensitive file information in specified directories based on the built-in sensitive information library and user-defined rules, and provides detection reports.