AMD vs Intel CPUs For Data Processing Jobs

Hariharan Iyer and Abhishek Srivastava run some tests against AWS’s new AMD-powered EC2 instances:

Our summary findings from TPCDS benchmarks are as follows:
– TPCDS queries are not as sensitive to local disk performance (and hence to EBS volume sizes)
– r5 (Intel) instances are consistently faster than r5a (AMD) instances. However, the speedup depends on the engine and the speedup for r5 (Intel) is lower for Spark (10%) than for Hive (25%).
– r5 instances are also either cheaper (by about 10% for Hive) or the same cost (for Spark)

At least for Hadoop and Spark work, Intel CPUs are a bit better, but there is some nuance in the story so check it out.

Related Posts

From pandas to Spark with koalas

Achilleus tries out Koalas: Python is widely used programming language when it comes to Data science workloads and Python has way too many different libraries to back this fact. Most of the data scientists are familiar with Python and pandas mostly. But the main issue with Pandas is it works great for small and medium […]

Read More

Quick Hits on Managed Instance Backup / Restore

Jovan Popovic has some pieces of advice for backing up and restoring databases on Azure SQL Managed Instances: Managed Instance takes automatic backups (full backups every week, differential every 12 hours, and log backups every 5-10 min) that you can use to restore a database to some point of time in past within the retention […]

Read More

Categories

January 2019
MTWTFSS
« Dec Feb »
 123456
78910111213
14151617181920
21222324252627
28293031