Cache management is important in exploiting locality and reducing data movement. This article studies a new type of programmable cache called the lease cache. By assigning leases, software exerts the primary control on when and how long data stays in the cache. Previous work has shown an optimal solution for an ideal lease cache. This article develops and evaluates a set of practical solutions for a physical lease cache emulated in FPGA with the full suite of PolyBench benchmarks. Compared to automatic caching, lease programming can further reduce data movement by 10% to over 60% when the data size is 16 times to 3,000 times the cache size, and the techniques in this article realize over 80% of this potential. Moreover, lease programming can reduce data movement by another 0.8% to 20% after polyhedral locality optimization.

Traditional caches are automatic and cannot be controlled directly by software. A recent design called CLAM manages a cache using leases and lets a program specify these leases. The lease cache is mostly controlled by software. This paper extends CLAM to support multiple cores with private caches. It presents the hardware extensions to support cache coherence for data-race free (DRF) programs. CLAM can use either inclusive or exclusive caching for shared data. Its performance can be improved by two programming techniques: cache draining and reference privatization.

This paper presents the definition and analysis of three detection and identification protocols for a future wireless biodevice network (WBDN). These protocols represent the first part of a complete communication protocol for a WBDN. The number of detected and identified biodevices depends only on the time the user accepts to assign for the detection and identification phase of a communication session.