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Showing 1 to 6 of 6 for “"microbenchmark"”.
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The Unified Side-Channel Attack Testing Methodology (USCA-TM) with Hardware Microbenchmark Validation
… is presented in the form of ‘hardware microbenchmark signatures’ that are the results of executing assembly-level code instructions that are critical components of a successful SCA. The identification of these critical components through microbenchmark signature data further validates …
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Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms Dataset
… operations in the cloud. This paper presents the microbenchmark of cloud cryptographic workloads, including SHA HMAC generation, AES encryption/decryption, ECC signature/verification, and RSA encryption/decryption, across Function-as-a-Service (FaaS) and Infrastructure-as-a-Service (IaaS) in …
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Accelerating The Discontinuous Galerkin Cell-Vertex Scheme (Dg-Cvs) Solver On Cpu-Gpu Heterogeneous Systems
… and atomic operations. We developed a microbenchmark to better understand the performance impact of svm.
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Software-defined pulse-doppler radar signal processing on graphics processors
… floating-point arithmetic. A set of microbenchmarks was first developed to isolate and highlight fundamental traits and relevant features of the GPU architecture, in order to determine their impact in the radar application context. The common digital pulse compression (DPC), corner …
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Generalizing the Utility of Graphics Processing Units in Large-Scale Heterogeneous Computing Systems
… the overhead of using remote GPUs via several microbenchmark suites as well as a few real-world applications; and (3) demonstrate the overhead as well as the benefit of live virtual GPU migration. Our experimental results indicate that VOCL can generalize the utility of GPUs in large-scale …
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Program transformation and code generation for developing, modeling, and optimizing GPU programs
The ability to efficiently optimize or re-optimize an algorithm for high performance on a particular processor architecture is crucial in a wide spectrum of engineering and scientific applications. To help bridge the gap between fully automated optimization, which does not reliably produce optimal …