Scheduling parallel tasks under multiple resources: list scheduling vs. Pack scheduling

Computer Science

• High-Performance Computing 100%
• Multiple Resource 100%
• Approximation Ratio 100%
• Processor Core 100%
• Scientific Application 50%
• Input/Output 50%
• Cache Memory 50%
• Execution Time 50%
• High Performance Computing Application 50%
• Computing Resource 50%
• Knights Landing 50%
• Bandwidth Memory 50%
• Data Driven Computing 50%
• Single Resource 50%
• Resource Constraint 50%
• Data Processing 50%