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--- skill-tree:k:1:2:b [2020/06/24 17:53] – [Outcomes] kai_h
+++ skill-tree:k:1:2:b [2025/04/16 18:30] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-# K1.2-B Hardware Architectures
+# K1.2 Hardware Architectures
-# Background
 HPC computer architectures are parallel computer architectures. A parallel computer is built out of
-  * compute units,
+    * Compute units.
-  * main memory,
+    * Main memory.
-  * and a high speed network.
+    * A high-speed network.
-# Aim
+## Learning Outcomes
-  * To provide knowledge about parallel computer architectures, in particular: the distinction between shared and distributed memory systems
-# Outcomes
+* Differentiate different processing elements such as CPU, FPGA, GPU, and others.
-  *  elementary processing elements like CPUs, GPUs, many core architectures
+* Demonstrate networking with different topologies and interconnects.
-  *  vector systems, and FPGAs
-  *  the NUMA architecture used for symmetric multiprocessing systems where the memory access time depends on the memory location relative to the processor
-  *  network demands for HPC systems (e.g. high bandwidth and low latency)
-  *  typical network architectures used for HPC systems, like fast Ethernet (1 or 10 Gbit) or InfiniBand
-  *  Comprehend that in traditional **CPUs** - although CPU stands for Central Processing Unit - there is no central, i.e. single, processing unit any more, because today all CPUs have multiple compute cores which all have the same functionality
-  * Comprehend that **GPUs** (Graphical Processing Units) or **GPGPUs** (General Purpose Graphical Processing Units) were originally used for image processing and displaying images on screens before people started to utilize the compute power of GPUs for other purposes
-  * Comprehend that **FPGAs** (Field-Programmable Gate Arrays) are devices that have configurable hardware and configurations are specified by hardware description languages
-  * Comprehend that **FPGAs** are interesting if one uses them to implement hardware features that are not available in CPUs or GPUs (e.g. low precision arithmetic that needs only a few bits)
-  * Comprehend that **Vector units** are successors of vector computers (i.e. the first generation of supercomputers) anf that they are supposed to provide higher memory bandwidth than CPUs
-  * Comprehend that at an abstract level the high speed network connects compute units and main memory which leads to three main parallel computer architectures
-    * **Shared Memory** where all compute units can directly access the whole main memory
-    * **Distributed memory** where individual computers are connected with a network
-    * **NUMA** (Non-Uniform Memory Access) combines properties from shared and distributed memory systems, because at the hardware level a NUMA system resembles a distributed memory
-  * Comprehend that in general, the effort for programming parallel applications for distributed systems is higher than for shared memory systems
-# Subskills
+## Subskills
+* [[skill-tree:k:1:2:1:b]]
+* [[skill-tree:k:1:2:1:b]]