NDLI: A Lightweight Design Space Exploration and Optimization Language

Please wait, while we are loading the content...

From dataflow analysis basics to the programming of ASICs

Compiler-Directed Data Locality Optimization in MATLAB

A Lightweight Design Space Exploration and Optimization Language

Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions

Scalable DFA Compilation for High-Performance Regular-Expression Matching

An Extensible Platform Description Language Supporting Retargetable Toolchains and Adaptive Execution

A Design Framework for Mapping Vectorized Synchronous Dataflow Graphs onto CPU-GPU Platforms

Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators

CSDFa: A Model for Exploiting the Trade-Off between Data and Pipeline Parallelism

In-Place Update in a Dataflow Synchronous Language: A Retiming-Enabled Language Experiment

Introducing MoC Drivers for the Integration of Sensor-Actuator Behaviors in Model-Based Design Flows of Embedded Systems

HAPI: An Event-Driven Simulator for Real-Time Multiprocessor Systems

Vectorization in PyPy's Tracing Just-In-Time Compiler

Cache-Aware Instruction SPM Allocation for Hard Real-Time Systems

Practical Challenges of ILP-based SPM Allocation Optimizations

Determining Performance Boundaries on High-Level System Specifications

Compositional Temporal Analysis Method for Fixed Priority Pre-emptive Scheduled Modal Stream Processing Applications

Automatic Generation of Thread Communication Graphs from SystemC Source Code

RDBG: a Reactive Programs Extensible Debugger

Energy-Optimized Static Scheduling for Many-Cores with Task Parallelization, DVFS and Core Consolidation

Machine Learning Approach to Generate Pareto Front for List-scheduling Algorithms

Sporadic Task Handling in Time-Triggered Systems

A Task-Level Monitoring Framework for Multi-Processor Platforms

Design-Time/Run-Time Mapping of Security-Critical Applications in Heterogeneous MPSoCs

Exploiting Configuration Dependencies for Rapid Area-efficient Customization of Soft-core Processors

Studying the Impact of Bit Switching on CPU Energy

A Rule-based Methodology for Hardware Configuration Validation in Embedded Systems

A Lightweight Design Space Exploration and Optimization Language

Content Provider	ACM Digital Library
Author	Barner, Simon Diewald, Alexander Voss, Sebastian
Abstract	The solution of many engineering and scientific problems requires the exploration of a huge n-dimensional design space. Typical approaches rely on an abstract problem model consisting of a system model (description of the problem's variable couplings) and an optimization specification defining the objectives as well as the constraints bounding the design space. Advances in solver technologies enabled to efficiently search the solution space, however the diversity of the approaches led to problem descriptions that are difficult to reuse, as well as to solutions that are hard to compare. Our Exploration Meta-Model (EMM) addresses this issue by providing a unified language for optimization specifications that is a well-defined basis for model-based implementations of solver-independent design-space exploration (DSE) tool-chains. The EMM is a light-weight framework that allows to a) describe optimization specifications independent of particular optimization methods and solvers, b) relate solutions and optimization specifications, and c) define domain profiles that provide high-level optimization specifications that ease the adoption of automated DSE by domain experts. The applicability of our framework to different optimization methods is demonstrated by applying it to the generic vector optimization problem and to single-objective linear programs. The EMM's support to relate optimization results to input specifications is exercised for the Opt4J framework. Finally, a profile for real-time embedded systems demonstrates how the EMM can be tailored to specific domains.
Starting Page	190
Ending Page	193
Page Count	4
File Format	PDF
ISBN	9781450343206
DOI	10.1145/2906363.2906367
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-05-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Design space exploration Model-driven development
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-objective optimization in rule-based design space exploration

Model driven engineering for MPSOC design space exploration

Model-driven design-space exploration for software-intensive embedded systems ⋆ (extended abstract).

A model-driven framework for guided design space exploration

Design space abstraction and metamodeling for embedded systems design space exploration

Exploiting the model-driven engineering approach to improve design space exploration of embedded systems

A model-driven framework for guided design space exploration

Lean Model-Driven Development through Model-Interpretation: the CPAL design flow

Criticality-driven superscalar design space exploration

A Lightweight Design Space Exploration and Optimization Language

Similar Documents

Multi-objective optimization in rule-based design space exploration

Model driven engineering for MPSOC design space exploration

Model-driven design-space exploration for software-intensive embedded systems ⋆ (extended abstract).

A model-driven framework for guided design space exploration

Design space abstraction and metamodeling for embedded systems design space exploration

Exploiting the model-driven engineering approach to improve design space exploration of embedded systems

A model-driven framework for guided design space exploration

Lean Model-Driven Development through Model-Interpretation: the CPAL design flow

Criticality-driven superscalar design space exploration

A Lightweight Design Space Exploration and Optimization Language