Hardware-Conscious Data Processing (ST 2022) - tele-TASK
Prof. Dr. Tilmann Rabl
- 19
- Episodes
- 2022
- First episode
About Hardware-Conscious Data Processing (ST 2022) - tele-TASK
Hardware development continuously advances, with different technologies improving at different pace. While the amount of transistors in a CPU package are growing, the single core performance is stagnating due to physical limitations. These trends require changes in data processing to keep database management systems efficient. In this lecture, we will take a look at current computer architectures and accelerator technologies and how they can be used for efficient data processing. We will cover CPU and memory architecture; the storage hierarchy; modern memory technolgoies, such as NVM and NVMe; fast interconnects, such as Infiniband, RDMA, and NVLink; and accelerators, such as GPUs and FPGAs. The course has a significant practical part, where the students learn to implement data structures and algorithms tailored to hardware concious data processing.
- Publisher
- Prof. Dr. Tilmann Rabl
- Category
- education
- Language
- en
- Explicit
- No
- First episode
- 21 Apr 2022
- Latest episode
- 26 Jul 2022
Latest episodes
19 episodes in the feed.
26 Jul 2022
Query Compilation for Modern, Heterogenous Processors
20 Jul 2022
Efficient Answering of Historical What-if Queries
19 Jul 2022
Field Programmable Gate Arrays
12 Jul 2022
Data Processing on GPUs II
5 Jul 2022
Data Processing on GPUs
28 Jun 2022
Networking
21 Jun 2022
Storage
14 Jun 2022
Persistent Memory
8 Jun 2022
Query Execution Models
31 May 2022
Data Structures
24 May 2022
Multicore Parallelism & Non-Uniform Memory Access
17 May 2022
Multicore Parallelism
10 May 2022
SIMD & Task 1: SIMD Scan
5 May 2022
CPU - Instruction Execution & SIMD
3 May 2022
CPU - Instruction Execution
28 Apr 2022
CPU and Caching
26 Apr 2022
Performance Management & Benchmarking
21 Apr 2022
DBMS Recap
21 Apr 2022
Introduction
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