Abstract:
This invention involves a cache system in a digital data processing apparatus including: a central processing unit core; a level one instruction cache; and a level two cache. The cache lines in the second level cache are twice the size of the cache lines in the first level instruction cache. The central processing unit core requests additional program instructions when needed via a request address. Upon a miss in the level one instruction cache that causes a hit in the upper half of a level two cache line, the level two cache supplies the upper half level cache line to the level one instruction cache. On a following level two cache memory cycle, the level two cache supplies the lower half of the cache line to the level one instruction cache. This cache technique thus prefetches the lower half level two cache line employing fewer resources than an ordinary prefetch.
Abstract:
Disclosed embodiments relate to a dNap architecture that accurately transitions cache lines to full power state before an access to them. This ensures that there are no additional delays due to waking up drowsy lines. Only cache lines that are determined by the DMC to be accessed in the immediate future are fully powered while others are put in drowsy mode. As a result, we are able to significantly reduce leakage power with no cache performance degradation and minimal hardware overhead, especially at higher associativities. Up to 92% static/Leakage power savings are accomplished with minimal hardware overhead and no performance tradeoff.
Abstract:
Disclosed embodiments provide a technique in which a memory controller determines whether a fetch address is a miss in an L1 cache and, when a miss occurs, allocates a way of the L1 cache, determines whether the allocated way matches a scoreboard entry of pending service requests, and, when such a match is found, determine whether a request address of the matching scoreboard entry matches the fetch address. When the matching scoreboard entry also has a request address matching the fetch address, the scoreboard entry is modified to a demand request.
Abstract:
This invention involves a cache system in a digital data processing apparatus including: a central processing unit core; a level one instruction cache; and a level two cache. The cache lines in the second level cache are twice the size of the cache lines in the first level instruction cache. The central processing unit core requests additional program instructions when needed via a request address. Upon a miss in the level one instruction cache that causes a hit in the upper half of a level two cache line, the level two cache supplies the upper half level cache line to the level one instruction cache. On a following level two cache memory cycle, the level two cache supplies the lower half of the cache line to the level one instruction cache. This cache technique thus prefetchs the lower half level two cache line employing fewer resources than an ordinary prefetch.
Abstract:
Disclosed embodiments relate to a dNap architecture that accurately transitions cache lines to full power state before an access to them. This ensures that there are no additional delays due to waking up drowsy lines. Only cache lines that are determined by the DMC to be accessed in the immediate future are fully powered while others are put in drowsy mode. As a result, we are able to significantly reduce leakage power with no cache performance degradation and minimal hardware overhead, especially at higher associativities. Up to 92% static/Leakage power savings are accomplished with minimal hardware overhead and no performance tradeoff.
Abstract:
A method is shown that eliminates the need for a dedicated reorder buffer register bank or memory space in a multi level cache system. As data requests from the L2 cache may be returned out of order, the L1 cache uses it's cache memory to buffer the out of order data and provides the data to the requesting processor in the correct order from the buffer.
Abstract:
This invention hides the page miss translation latency for program fetches. In this invention whenever an access is requested by CPU, the L1I cache controller does a-priori lookup of whether the virtual address plus the fetch packet count of expected program fetches crosses a page boundary. If the access crosses a page boundary, the L1I cache controller will request a second page translation along with the first page. This pipelines requests to the μTLB without waiting for L1I cache controller to begin processing the second page requests. This becomes a deterministic prefetch of the second page translation request. The translation information for the second page is stored locally in L1I cache controller and used when the access crosses the page boundary.
Abstract:
A method is shown that eliminates the need for a dedicated reorder buffer register bank or memory space in a multi level cache system. As data requests from the L2 cache may be returned out of order, the L1 cache uses it's cache memory to buffer the out of order data and provides the data to the requesting processor in the correct order from the buffer.
Abstract:
This invention hides the page miss translation latency for program fetches. In this invention whenever an access is requested by CPU that crosses a memory page boundary, the L1I cache controller request a next page translation along with the current page. This pipelines requests to the μTLB without waiting for L1I cache controller to begin processing the next page requests. This becomes a deterministic prefetch of the second page translation request. The translation information for the second page is stored locally in L1I cache controller and used when the access crosses the next page boundary.
Abstract:
The dNap architecture is able to accurately transition cache lines to full power state before an access to them. This ensures that there are no additional delays due to waking up drowsy lines. Only cache lines that are determined by the DMC to be accessed in the immediate future are fully powered while others are put in drowsy mode. As a result, we are able to significantly reduce leakage power with no cache performance degradation and minimal hardware overhead, especially at higher associativities. Up to 92% static/Leakage power savings are accomplished with minimal hardware overhead and no performance tradeoff.