divendres, 18 de desembre del 2015

Test Your Performance Skills (Responses)

A single-threaded compute-intensive program elapses 100 s when running in a system with one processor. What would the new elapsed time be if we upgrade the system with a processor twice as fast?
  • 100 s
  • 200 s
  • 50 s

A single-threaded compute-intensive program elapses 100 s when running in a system with one processor. What would the new elapsed time be if we upgrade the system with a second twin processor?
  • 100 s
  • 200 s
  • 50 s

IOPS (Input/Output Operations Per Second), is a performance measurement of
  • Response Time
  • Velocity
  • Throughput
  • Usage

The SAP Application Performance Standard, known as SAPS,  is a performance measurement of
  • Response Time
  • Velocity
  • Throughput
  • Usage

The storage subsystem XYZ delivers 10000 IOPS with an IO average response time of less than 5 ms. This implies that allowing a 10 ms response time per IO, it would deliver 20000 IOPS.
  • True
  • False

In a typical OLTP scenario doubling the workload, in the sense of doubling the number of users, implies doubling the response time.
  • True
  • False

In a typical OLTP scenario doubling the workload, in the sense of twice heavier requests, implies doubling the response time.
  • True
  • False

Doubling the processing capacity, in the sense of doubling the number of processors, implies halving the response time.
  • True
  • False

Doubling the processing capacity, in the sense of upgrading to a twice faster processor, implies halving the response time.
  • True
  • False

In a typical OLTP scenario an usage greater than 65% necessarily means bad response time.

  • True
  • False

Test Your Performance Skills

A single-threaded compute-intensive program elapses 100 s when running in a system with one processor. What would the new elapsed time be if we upgrade the system with a processor twice as fast?
  • 100 s
  • 200 s
  • 50 s

A single-threaded compute-intensive program elapses 100 s when running in a system with one processor. What would the new elapsed time be if we upgrade the system with a second twin processor?
  • 100 s
  • 200 s
  • 50 s

IOPS (Input/Output Operations Per Second), is a performance measurement of
  • Response Time
  • Velocity
  • Throughput
  • Usage

The SAP Application Performance Standard, known as SAPS,  is a performance measurement of
  • Response Time
  • Velocity
  • Throughput
  • Usage

The storage subsystem XYZ delivers 10000 IOPS with an IO average response time of less than 5 ms. This implies that allowing a 10 ms response time per IO, it would deliver 20000 IOPS.
  • True
  • False

In a typical OLTP scenario doubling the workload, in the sense of doubling the number of users, implies doubling the response time.
  • True
  • False

In a typical OLTP scenario doubling the workload, in the sense of twice heavier requests, implies doubling the response time.
  • True
  • False

Doubling the processing capacity, in the sense of doubling the number of processors, implies halving the response time.
  • True
  • False

Doubling the processing capacity, in the sense of upgrading to a twice faster processor, implies halving the response time.
  • True
  • False

In a typical OLTP scenario an usage greater than 65% necessarily means bad response time.

  • True
  • False

divendres, 5 de desembre del 2014

http://ibm.biz/demystperf

Just a reminder: this blog is a mirror of the "main" site:
  • http://ibm.biz/demystperf
  • https://www-304.ibm.com/connections/blogs/performance
But, as the above is planned to be sunset I will publish everything here as well. Just give me enough time to resynch both blogs.

SAPS Olympics: 10 charts for fun and profit

I’ve prepared 10 charts I think they are interesting enough. You may use them for your fun or your professional presentations. Of course the data source is the official SAPS (SD 2-Tier) results posted at http://global.sap.com/solutions/benchmark/sd2tier.epx. Please, feel free to ask for additional charts not included here, as I plan for new ones.
The list here:
  1. Count of benchmarked systems by benchmark version.
  2. All the SAPS results.
  3. All The SAPS results (logarithmic scale).
  4. The latest SAPS results (logarithmic scale).
  5. Top 1 SAPS evolution.
  6. SAPS evolution (50 benchmarks moving average).
  7. SAPS evolution (50 benchmarks moving average) (logarithmic scale).
  8. All the SAPS per core results.
  9. SAPS per core evolution (50 benchmarks moving average).
  10. Top 1 SAPS per core evolution.
 

Chart #1: Benchmarked systems by benchmark version

 
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Chart #2: All the SAPS results

 
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Chart #3: All the SAPS results (logarithmic scale)

 
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Chart #4: The latest SAPS Results (logarithmic scale)


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Chart #5: Top 1 SAPS System Evolution

 

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Chart #6: SAPS evolution (50 benchmarks moving average)

 
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Chart #7: SAPS evolution (50 benchmarks moving average) (logarithmic scale)

 
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Chart #8: All the SAPS per core results

 
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Chart #9: SAPS per core evolution (50 benchmarks moving average)

 
image
 
 


Chart #10: Top 1 SAPS per core evolution

 
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