22. Problems. Other Usages: NavBelt ... GuideCane. Page 24. 24. GuideCane.
Machine Vision. ▫ Problem: determine the objects in the. ▫ Problem: determine ...
xyplot(y ~ x | sex, xlab="X-Axis", ylab="Y-Axis", pch=19, col="blue", cex=1.5, main
="Y vs X by Sex", strip=strip.custom(bg="gray75", par.strip.text=list(font=2))).
This material is also printed out to provide these lecture notes. ..... Line drawing of
3D models is used in Computer Aided Design (CAD) and in 3D model design.
Lecture Notes. Assoc.Prof. .... 5.2.4.3. Drainage pattern . ...... drainage will permit
recognition, delineation and analysis of the geologic features within most.
Intuitively, fragmentation stems from breaking up heap into unusable spaces. ...
External Fragmentation - wasted space outside of objects (spaces between).
Feb 3, 2010 ... ”Advanced Calculus of Several Variables” by C.H. Edwards ... the proofs in
Edwards or similar advanced undergraduate/beginning graduate ...
Lecture 8: Advanced Techniques ... (called hidden 1 technique, except when exp
= -127). • Exponent is ... Pitch is a good technique to speedup memory access.
Classical Mechanics. Charles B. Thorn1. Institute for Fundamental Theory.
Department of Physics, University of Florida, Gainesville FL 32611. Abstract. 1E-
mail ...
Chapter 7. Memory Management. Operating Systems: Internals and Design
Principles, 6/E. William Stallings. Memory Management. Dave Bremer.
Memory Management. 55. Memory Management. “Multitasking without memory
management is like having a party in a closet.” – Charles Petzold. Programming ...
Advanced memory management and disk scheduling techniques for general-
purpose operating systems by. Sitaram Iyer. A THESIS SUBMITTED. IN PARTIAL
...
Feb 4, 2017 - is saved on the disk in the form of DBM files. So, as you are experimenting with the attack logic in lines
Health management applications ... IVHM - Integrated Vehicle Health
Management - On-board. • PHM - Prognostics and Health Management - On-
ground.
I.I.T. Delhi. Copies of old Lecture Transparencies. Instructor: M. Balakrishnan ...
I.I.T. Delhi. Chapter 1: Introduction. 2. Introduction. • What are digital systems ?
factors of operations of agile software development. We also describe in this paper the most common challenges of agile faced by team and benefits that accrue ...
The experience of hope is subjective, which makes it difficult to define clearly or to measure, ...... (2001). Rational analysis for a problematic world revisited:.
In the late 1960's, Atal and Itakura independently formulated the fundamental concepts .... the 'area of geophysics, meteorology, audio signal processing and image com- .... Conventional linear digital signal processing techniques often utilize the f
Microprocessor-based System Design. Ricardo Gutierrez-Osuna. Wright State
University. 1. Lecture 15: Memory and I/O interface g Address space g Memory ...
of the vocal tract representing the filter parameter and the speech waveform as the ... In another early recognition system Fry and Denes, at University College in ...... the NN classifier (80.8%) and detects anger perfectly, but confuses happiness .
Jan 26, 2013 - we are constrained to zero capacity or when we cannot use any items. .... create an instance J of bin pac
Lecture 2: Propositional Logic Review. Overview: • syntax of propositional logic,
parse trees. • translation from English. • truth functional semantics of ...
where the partial derivatives are to be applied to f(x,y) only. Thus. ½x ∂∂x + y ∂
∂y¾3 f ≡ x3 ∂3f. ∂x3. + 3x2y. ∂3f. ∂x2∂y. + 3xy2 ∂3f. ∂x∂y2. + y3 ∂3f.
Chapter 1. Introduction and definitions. Thermodynamics is the study of stable
equilibrium in macroscopic systems. The terms. “macroscopic” and “stable ...
in stack segment. • in heap segment. ◇ external - between user processes. ▫
kernel memory management. 2. Advanced Memory. Management Techniques. ▫.
Previous lecture review n
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Advanced Memory Management Techniques
efficient memory management is needed in various areas user process space u internal - inside a process • in stack segment • in heap segment u external - between user processes kernel memory management
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Static vs. dynamic allocation resource map allocation power-of-two free list allocation buddy method allocation lazy buddy method allocation
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What is there to manage? n
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The kernel manages physical memory for both user processes and itself u user processes - virtual memory/paging (next lecture) u kernel needs such as: F process structures (PCBs/TCBs, etc.) F file system management structures management F network buffers and other communication structures for IPC The kernel subsystem that deals with kernel memory management is called Kernel Memory Allocator (KMA) first Unix kernels allocated the these structures statically; what’s wrong with this approach? u can overflow u inflexible (cannot be adjusted to concrete system’s needs) u conservative allocation leads to wasting memory need dynamic kernel memory allocation!
Resource map implementation of with FF, BF and WF n
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Analysis of resource map KMA n
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The simplest dynamic memory allocation KMA uses resource map: a list of where u base - start of free segment u size - size of free segment KMA can use either of u first fit u best fit u worst fit
Unix uses FF for kernel buffers
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Power-of-two free list KMA
advantages: u easy to implement u can allocate precise memory regions, clients can release parts of memory u adjacent free memory regions can be coalesced (joined) with extra work disadvantages: u the memory space gets fragmented u linear search for available memory space u resource map increases with fragmentation. what’s wrong with that? F more kernel resource are used for the map F search time increases u to coalesce adjacent regions map needs to be sorted - expensive u hard to remove memory from the memory-mapped region 5
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A set of free buffer lists - each a power of two a.i. 32, 64, 128 … bytes each buffer has a one word (4 bytes) pointer u when the buffer is free - the pointer shows the next free buffer u when the buffer is used - it points to the size of the buffer the memory allocation requests are rounded up to the next power of 2 when allocated - the buffer is removed from the list when freed - the buffer is returned to the appropriate free buffer list when list is empty KMA either allocates a larger buffer or delays request used in Unix to implement user-level malloc() and free() 6
Buddy KMA
Analysis of power-of-two KMA n n
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Advantages: u simple and fast (bounded worst-case performance) - no linear searches Disadvantages: u cannot release parts of buffers u space is wasted on rounding to the next power of two F (what type of fragmentation is that?) u a word is wasted on the header - big problem for the memory requests that are power-of-two u can’t coalesce adjacent free buffers
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Combines buffer coalescing with power-of-two allocator small buffers are created by (repeatedly) halving a large buffer when buffer is split the halves are called buddies u maintains the bitmap for the minimum possible buffer; 1 - allocated 2 - free u maintains a list of buffer sized (powers of two) example, initially we have a block of 1024bytes u allocate(256) - block is split into buddies of size 512 bytes - A and A’ u A is split into B and B’ - size 256 u B allocated
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Buddy KMA(cont) n
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Allocate(128) - finds 128free list empty; gets B’ from 256-list and splits it into C and C’ - size 128; allocates C allocate(64) - finds 64-list empty, gets C’ from 128list; splits it into D and D’ size 64, allocates D (see picture on previous page) allocate(128) - removes A’; splits it into E and E’; splits E into F and F’, allocates F release(C, 128) - see picture on top release(D, 64) - coalesce D, D’ to get C’, coalesce C’ and C to get B’
Analysis of buddy KMA n
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Lazy buddy KMA n
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coalescence delay - time it takes to check if the buddy is free and coalesce buddy KMA - each release operation - at least one coalescence delay if we allocate and deallocate same-size buffers - inefficient solution: coalesce only as necessary u operation is fast when we don’t coalesce u operation is extremely slow if we coalesce middle approach: u we free the buffer making it available for reuse but not for coalescing (not marked in bitmap) u coalescing is done depending on the number of available buffers of certain class: F many (lazy state) - no coalescing necessary F borderline (reclaiming state) - coalescing is needed F few (accelerated state) - KMA must coalesce fast
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advantages: u coalescence possible u possible dynamic modification of allocation region disadvantages: u performance - coalescing every time possibly to split up again; coalescing is recursive! u no partial release