CCProf: Lightweight Detection of Cache Conflicts
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CCProf: Lightweight Detection of Cache Conflicts
Contains implementations of cache-optimized and external memory algorithms.
Creating a tool for the accurate detection of DNS Tunneling queries using Cache Miss properties and Machine Learning Models.
CPP Program to simulate a Generalized Cache behaviour
Development of an Accurate DNS Tunneling Detection Tool Using Cache Miss Properties and Machine Learning Models
ML-driven cache miss profiler that learns how your program touches memory across runs and rewires heap allocations to fix it. zero source changes, zero recompilation. Just wrap your command and let it learn.
Experimental measurements and analysis of energy efficiency and energy behavior of cache hits vs. cache misses and of contemporary compressed text indexing techniques.
Testing the influence of cache misses in Java.
Execution of matrix multiplication algorithms using the valgrind and kcachegrind tools to evaluate their performance in terms of cache misses.
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