emmtrix
Parallel Studio
(ePS)
Our Solution for Guided, Semi-Automated Parallelization
Optimize the performance of your embedded applications on multicore, FPGA and GPU architectures. The developer tool emmtrix Parallel Studio significantly simplifies the parallelization process and code optimization through automation and an innovative graphical user interface. Develop your applications in model-based software language such as MATLAB®, Simulink®, Scilab, and Xcos or use your existing C code as starting point for the parallelization in ePS.
ePS is applicable in industries like automotive, industrial automation, telecommunication, medical and avionic.
Our Product Workflow
Development
Input languages:
MATLAB® & Simulink,
Scilab and C
Code Generation
Output Code Generator:
Sequential C code
Parallelization
Output Parallel Studio:
Parallel C code for the target platform
Deployment
Target platforms:
Multicore CPUs, Systems on Chip (FPGA, GPU)
Our Product Workflow
Parallelization
Output Parallel Studio:
Parallel C code for the target platform
Deployment
Target platforms:
Multicore CPUs, Systems on chil (FRGA, GPU)
Development
Input languages:
MATLAB & Simulink, Scilab and C
Code Generation
Output Code Generator:
Sequential C code
Development
Input languages:
MATLAB & Simulink,
Scilab and C
Code Generation
Output Code Generator:
Sequential C code
Parallelization
Output Parallel Studio:
Parallel C code for the target platform
Deployment
Target platforms:
Multicore CPUs, Systems on Chip (FPGA, GPU)
Features
- Automated generation of parallel Code
- Interactive optimization with user-friendly Eclipse-based GUI
- Performance Prediction
- Rapid Prototyping
- Support for common parallel programming interfaces
(MPI, OpenMP, OpenCL, PThreads, Cuda, etc.)
- Extensible support of embedded multicore processors, FPGAs and GPUs
- Parallelization on function-level, runnable-level or sub-function-level (within a function)
- Following principles of Logical Execution Time (LET)
- Interactive code transformations to optimize parallel code
- Static dependency analysis
- Direct deployment of parallelized program to evaluation boards
Interactive Parallelization – a step-by-step guide
see and understand
Performance
Analysis
speed up
Code
Transformations
tune
Parallel
Timing
check results
Task
Parallelization
Interactive Parallelization – a step-by-step guide
Performance Analysis
see and understand
- Analyze the sequential performance
- Find critical part (hot spots) in the program
- Show call graph / control structure
- Navigate through the application
Code Transformations
speed up
- Select transformations
- Exploit loop- and data-level parallelism
- Increase the number of independent tasks
Parallel Timing
tune
- Analyze parallel performance
- Follow dependencies
- Analyze result
Task Parallelization
check results
- Exploit task-level parallelism
- Fine-tune parallelization with user constraints
- Pin tasks to specific cores
- Reserve cores for other purposes
Performance Analyse
- Analyze the sequential performance
- Find critical part (hot spots) in the program
- Show call graph / control structure
- Navigate through the application
Code Transformations
- Select transformations
- Exploit loop- and data-level parallelism
- Increase the number of independent tasks
Parallel Timing
- Analyze parallel performance
- Follow dependencies
- Analyze result
Task Parallelization
- Exploit task-level parallelism
- Fine-tune parallelization with user constraints
- Pin tasks to specific cores
- Reserve cores for other purposes
More Speed
- Improve your application response time and processing throughput
- Performance prediction early on in the development process
- Speed up your applications with the use of powerful hardware
More Quality
- Correct-by-design approach
- Integrated functional tests for sequential and parallel code
- Develop safety-critical applications (e.g. ISO 26262 and D0178C)
More Done
- Automate and stay in control
- Model-based software development for multicore targets
- Simple workflow integration
What People Are Saying
„Now that we have multicore hardware available everywhere, the question is how can developers split their application onto those cores. With the ePS developers have a tool that allows to take those parallelization decisions at a much less granular level than what we experience in the field today. Today most multicore SW projects either take a very long time to complete or they use the cores for completely separate tasks like OS, I/O and application. This results in poor performance enhancement often leaving 50% or more of the computing power idling. ePS shows where and how performance can be increased. As a “side-effect” of using ePS the developer quickly learns to design his application to be suitable for multicore HW.”
Arndt-Michael Meyer
Solution Manager & Partner Manager, ETAS GmbH
Cortex
Aurix
JETSON
ZYNQ
R-Car
PowerPC
Rasperry Pi
Samsung
DSP
Some Supported Platforms
emmtrix Parallel Studio (ePS) has already a wide range of supported target platforms ranging from general-purpose processors (e.g. ARM Cortex-A series or X86) to special-purpose microcontrollers (e.g. Infineon Aurix family). In general, ePS can be easily adapted and customized to new processor architectures. We are able to support almost any processor type due to our minimal requirements (available C compiler and message passing or shared-memory inter-core communication) on the computing architecture. Even systems with GPU-based accelerators (using OpenCL or CUDA) or FPGAs (using high-level synthesis) are supported.
Some Supported Platforms
Cortex
ZYNQ
Samsung
Aurix
PowerPC
R-Car
JETSON
Rasperry Pi
DSP
For more information on emmtrix Parallel Studio or to request a demo or a project evaluation call, use our contact form or get directly in touch.
