Visible to Intel only — GUID: GUID-B5024526-55A8-43E4-A8F2-49FD6556FBBA
Top-down Microarchitecture Analysis Method
OpenMP* Code Analysis Method
Software Optimization for Intel® GPUs (NEW)
Core Utilization in DPDK Apps
PCIe Traffic in DPDK Apps
DPDK Event Device Profiling
Effective Utilization of Intel® Data Direct I/O Technology
Compile a Portable Optimized Binary with the Latest Instruction Set
Analyzing Hot Code Paths Using Flame Graphs (NEW)
Improving Hotspot Observability in a C++ Application Using Flame Graphs
Profiling Games built with Unity* (NEW)
Profiling Games built with Unreal Engine* (NEW)
Profiling Java Applications as a Remote User (NEW)
Profiling JavaScript* Code in Node.js*
Measuring Performance Impact of NUMA in Multi-Processor Systems (NEW)
Analyzing CPU and FPGA (Intel® Arria® 10 GX) Interaction
Profiling a .NET* Core Application
Profiling Applications in Amazon Web Services* (AWS) EC2 Instances
Enabling Performance Profiling in GitLab* CI
Configuring a Hyper-V* Virtual Machine for Hardware-Based Hotspots Analysis
Profiling an Application for Performance Anomalies (NEW)
Profiling an OpenMP* Offload Application running on a GPU (NEW)
Profiling a SYCL* Application running on a GPU
Using the Command-Line Interface to Analyze the Performance of a SYCL* Application running on a GPU (NEW)
Profiling an FPGA-driven SYCL* Application
Profiling Hardware Without Intel Sampling Drivers
Profiling MPI Applications
Profiling Docker* Containers
Profiling a Remote Target Through a Proxy Server (NEW)
Using Intel® VTune™ Profiler Server with Visual Studio Code and Intel® DevCloud for oneAPI (NEW)
Using Intel® VTune™ Profiler Server in HPC Clusters
Profiling in a Singularity* Container
Profiling Linux*, Android*, and QNX* System Boot Time
Cache-Related Latency Issues in Segmented Cache Environment
False Sharing
Frequent DRAM Accesses
Poor Port Utilization
Page Faults
Instruction Cache Misses
Inefficient Synchronization
Inefficient TCP/IP Synchronization
OS Thread Migration
OpenMP* Imbalance and Scheduling Overhead
Processor Cores Underutilization: OpenMP* Serial Time
Scheduling Overhead in Intel® Threading Building Blocks (Intel® TBB) Apps
PMDK Application Overhead
Visible to Intel only — GUID: GUID-B5024526-55A8-43E4-A8F2-49FD6556FBBA
Methodologies
Start cooking your performance analysis. Understand tuning techniques, performance metrics and hardware solutions to collect statistics. Next, drill down to particular tuning or configuration recipes that feature Intel® VTune™ Profiler or its predecessor, Intel® VTune™ Amplifier.
Recipe |
Description |
|---|---|
| Top-down Microarchitecture Analysis Method | Understand how an application utilizes available hardware resources. Enable it to take advantage of CPU microarchitectures. |
| OpenMP* Code Analysis Method | Analyze CPU utilization of your OpenMP* or hybrid OpenMP-MPI application. Identify causes for possible inefficiencies. |
| Software Optimization for Intel® GPUs (NEW) | Estimate overhead when offloading onto an Intel GPU. Analyze the performance of computing tasks offloaded onto the GPU. |
| Core Utilization in DPDK Apps | Examine metrics that characterize core utilization in terms of packet receiving in DPDK-based applications. |
| PCIe Traffic in DPDK Apps | Examine PCIe Bandwidth metrics used in Intel® VTune™ Profiler and investigate PCIe traffic for a packet forwarding DPDK-based workload. |
| DPDK Event Device Profiling | Analyze the efficiency of DPDK Event Device pipeline utilization in your DPDK-based application. Identify issues like inhomogeneous load distribution and worker core underutilization. |
| Effective Utilization of Intel® Data Direct I/O Technology | Use Intel® VTune™ Profiler to examine the utilization efficiency of the Intel® Data Direct I/O technology, a hardware feature of Intel® Xeon® processors. |
| Compile a Portable Optimized Binary with the Latest Instruction Set | Explore the methods of compiling an application binary for distribution, with their pros and cons. Learn to compile a portable binary that uses the latest hardware features while retaining backwards compatibility. |
- Top-down Microarchitecture Analysis Method
Use this recipe to know how an application is utilizing available hardware resources and how to make it take advantage of CPU microarchitectures. One way to obtain this knowledge is by using on-chip Performance Monitoring Units (PMUs). - OpenMP* Code Analysis Method
This recipe introduces a flow to analyze CPU utilization of your OpenMP* or hybrid OpenMP-MPI application and identify causes of possible inefficiencies. - Software Optimization for Intel® GPUs (NEW)
Use Intel® VTune™ Profiler to estimate overhead when offloading onto an Intel GPU. Analyze the performance of computing tasks offloaded onto the GPU. - Core Utilization in DPDK Apps
This recipe explores metrics that characterize core utilization in terms of packet receiving in DPDK-based applications. - PCIe Traffic in DPDK Apps
This recipe introduces PCIe Bandwidth metrics used in Intel® VTune™ Profiler to explore the PCIe traffic for a packet forwarding DPDK-based workload. - DPDK Event Device Profiling
Use Intel® VTune™ Profiler to analyze the efficiency of DPDK Event Device pipeline utilization in your DPDK-based application and identify issues, such as inhomogeneous load distribution and worker core underutilization. - Effective Utilization of Intel® Data Direct I/O Technology
This recipe demonstrates how Intel® VTune™ Profiler reveals the utilization efficiency of the Intel® Data Direct I/O technology, a hardware feature of Intel® Xeon® processors. - Compile a Portable Optimized Binary with the Latest Instruction Set
Learn the different methods for compiling a binary with the latest instruction set while maintaining portability.