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This paper proposes a number of improvements for the switching table used by the Self Adaptive cache Memories (SAM) method, as described in [1]. The Switching Table is used for maintaining performance in a continuously degrading memory. The proposed improvements aim at decreasing the size of the switching table. This can be achieved by eliminating some of the redundant and idle entries, which also generate performance degradation and area overhead increase. Also we present a comparative analysis for the SAM method with and without the improvements proposed, in regard to reduction of the overhead and increase in speed. The simulation results have shown that the number of entries in the switching table can be reduced up to 68%. Also we have shown by simulations that we can reduce the time penalty with up to over 80%.

This paper will present an educational method that will help link academia and business. This method will help improve the relations between academia and business in the field of building and testing memory systems. We will provide the basic theoretical structure of our method, and will provide our readers with a case study of one particular testing method that can breach the barrier between academia and business. This method will help both parts in improving their production methods and testing techniques. Our method will promote extended communication by using electronic means (e.g. e-mail, electronic reports, etc.), which will help the two parties work together more efficiently. We will provide an electronic infrastructure that will ease the communication between the two parties. We will also provide a study on a particular example that will prove that there are significant improvements regarding communication and learning, while also reducing the time needed for the academia methods to be implemented in business.