Doctoral Speaking Skills Talk - Hyoungjoo Kim
— 1:00pm
Location:
In Person
-
Gates Hillman 9115
Speaker:
HYOUNGJOO KIM
,
Ph.D. Student
Computer Science Department
Carnegie Mellon University
https://hyoungjook.github.io/
Memory channel bandwidth imposes an upper bound on the performance of online transaction processing (OLTP) on in-memory database management systems (DBMS). Emerging processing-in-memory (PIM) hardware has the potential to overcome this barrier by using small cores in DRAM chips that can read and process data in situ, thereby avoiding moving these data across memory channels. However, naively offloading all database components to PIM does not solve the problem due to the characteristics of software components and the limitations of PIM hardware.
OLTPim is the first end-to-end OLTP DBMS designed for PIM systems. We build a formalized model for the affinity of each database operation towards PIM and use it to decide the partitioning of components on different types of memory. We also design a lightweight batching algorithm to overcome the large PIM control latency while minimizing the batching overhead. We implement and evaluate OLTPim on the latest PIM system from UPMEM with 64 worker threads and 2048 PIM modules. Our results show that OLTPim achieves up to 1.71x throughput and up to 6.14x less per-transaction memory channel traffic over MosaicDB, a state-of-the-art in-memory system.
Presented in Partial Fulfillment of the CSD Speaking Skills Requirement
For More Information:
matthewstewart@cmu.edu