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Difference Between High Performance Computing and High Throughput Computing

High-Performance Computing(HPC) is a computing technique to process computational problems, and complex data and to perform scientific simulations. HPC systems consist of considerably more number of processors or computer nodes, high-speed interconnects, and specialized libraries and tools. In order to use HPC systems effectively users must have a proper knowledge of parallel computing and optimization techniques. HPC is used in various fields such as engineering, finance, commercial applications, weather forecasting, and automotive design. 

Advantages of HPC

High Throughput Computing (HTC) is defined as a type of computing that aims to run a large number of computational tasks using resources in parallel. HTC systems consist of a distributed network of computers known as computing clusters. These systems are used to schedule a large number of jobs effectively. HTC majorly focuses on increasing the overall throughput of the system by running many smaller size tasks parallelly.  HTC is commonly used in scientific research and engineering applications in order to process large data sets or perform simulations that require extensive computational power.

Advantages of HTC

Difference between HPC and HTC

Parameter

HPC

HTC

Stands for

HPC stands for High-Performance Computing

HTC stands for High Throughput Computing

Definition

HPC is defined as the type of computing that makes use of multiple computer processors in order to perform complex computations parallelly. 

HTC is defined as a type of computing that parallelly executes a large number of simple and computationally independent tasks. 

Workload

HPC consists of running large-scale, complex, and computationally intensive applications that need significant resources and memory. 

HPC consists of running a large number of tasks that are independent and small in size and does not require a large amount of memory and resources. 
 

Processing Power

It is designed to provide maximum performance and speed for large tasks. 

HTC is designed to increase the number of tasks that needs to be completed in a given specific amount of time. 

Resource Management

For resource management to processes, HPC makes use of job schedulers and resource managers.  

For the resource management to processes, HTC makes use of distributed management resources. 

Fault Tolerance 

 To reduce the risk of data loss and data corruption HPC systems have a complex fault tolerance mechanism. 

HTC systems do not affect any other running processes due to the failure of an individual task. 

Scaling

 HPC scales up when few users are running together. 

HTC systems scale horizontally for simple tasks and require less computational speed. 

Applications

HPC can be used in applications such as engineering design, weather forecasting, drug discovery etc. 

HTC can be used in applications such as bioinformatics, research applications, etc. 

Conclusion

In conclusion, High-Performance Computing(HPC) and High Throughput Computing(HTC) are two different types of computing systems in order to handle multiple processes simultaneously. Both HPC and HTC have their own advantages and limitations accordingly. In some of the applications, both HPC and HTC can be used in combination in order to achieve their own specific advantages and improve the functioning of the systems. 

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